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13 changed files with 1637 additions and 520 deletions
+124 -1
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@@ -69,6 +69,25 @@ namespace MultiWheelC
PilotDefinition.Self.IOObstacleArea = area;
}
}
public void RotateToTarget(float target)
{
//if (!needrotate) return;
var dl = new DriveTask(new MultiWheelRotateInPlace()
{
AngleTarget = target,
PidparamsRead = () => new PIDParams()
{
Kp = PilotDefinition.Conf.TireFollowingThkp,
Ki = PilotDefinition.Conf.TireFollowingThki,
Kd = PilotDefinition.Conf.TireFollowingThkd,
DeadZone = PilotDefinition.Conf.TireFollowingThDeadZone,
SpeedAccPerSec = PilotDefinition.Conf.TireFollowingThSpeedAccPerSec,
OutputUpperThreshold = PilotDefinition.Conf.TireFollowingThThresh,
MaxI = PilotDefinition.Conf.TireFollowingThMaxI,
}
}.Get());
dl.Wait();
}
//参数1:tireNum 需要钻过的轮胎对数量
//参数2frontLidarDetect true:前雷达识别 false:后雷达识别
@@ -192,7 +211,7 @@ namespace MultiWheelC
},
CarDirection = 180f,
SlowDistance = PilotDefinition.Conf.TireFollowingSlowDistance,
MaxSpeed = PilotDefinition.Conf.TireFollowingMaxSpeed,
MaxSpeed = 0.25f,
EnableHandover = true,
HandoverDistance = 200f,
HandoverSpeed = 0.3f,
@@ -246,6 +265,9 @@ namespace MultiWheelC
Target = PilotDefinition.Conf.LineTrackDistance + (PilotDefinition.Self.LFLActualPos + PilotDefinition.Self.LFRActualPos) / 2,
LeaveSrcFunction = Leave,
SrcId = srcId,
EnableHandover = true,
HandoverDistance = 200,
HandoverSpeed = 0.3f,
}.Get())
{
if (!running) break;
@@ -253,6 +275,12 @@ namespace MultiWheelC
}
DLog.Log($"释放锁点{srcId}完成", "TireFollowing");
DLog.Log("离车LineTracking结束,开始DstTracker", "TireFollowing");
while (!TryLock(426))
{
Thread.Sleep(20);
}
Leave(dstId);
DLog.Log($"释放锁点{dstId}完成", "TireFollowing");
foreach (var running in new DstTracker()
{
Src = new Vector2(srcX, srcY),
@@ -372,6 +400,101 @@ namespace MultiWheelC
}
}
}
public void FleetCurveWalk(float srcX, float srcY, int srcId, float dstX, float dstY, int dstId,
float speed, params float[] trackTypeInfo)
{
if (trackTypeInfo == null || trackTypeInfo.Length < 2)
{
DLog.Log("FleetCurveWalk abort: invalid trackTypeInfo, expected Bezier type info.", "FleetCurveDbg");
Hedingben.ToastText("FleetCurve invalid trackTypeInfo", "FleetCurve");
return;
}
var trackType = (int)trackTypeInfo[0];
if (trackType != 2)
{
DLog.Log($"FleetCurveWalk abort: unsupported trackType={trackType}, only Bezier(type=2) is supported.",
"FleetCurveDbg");
Hedingben.ToastText("FleetCurve only supports Bezier trackType=2", "FleetCurve");
return;
}
var controlPointNum = (int)trackTypeInfo[1];
var expectedLength = 2 + controlPointNum * 2;
if (controlPointNum < 3 || trackTypeInfo.Length < expectedLength)
{
DLog.Log(
$"FleetCurveWalk abort: invalid Bezier trackTypeInfo. controlPointNum={controlPointNum}, " +
$"length={trackTypeInfo.Length}, expected>={expectedLength}.",
"FleetCurveDbg");
Hedingben.ToastText("FleetCurve invalid Bezier trackTypeInfo", "FleetCurve");
return;
}
BezierTrack track;
try
{
track = ProcessTrackTypeInfo(srcX, srcY, dstX, dstY, trackTypeInfo) as BezierTrack;
}
catch (Exception ex)
{
DLog.Log($"FleetCurveWalk abort: failed to process trackTypeInfo. {ex.Message}", "FleetCurveDbg");
Hedingben.ToastText("FleetCurve failed to process track", "FleetCurve");
return;
}
if (track == null)
{
DLog.Log("FleetCurveWalk abort: ProcessTrackTypeInfo did not return BezierTrack.", "FleetCurveDbg");
Hedingben.ToastText("FleetCurve requires BezierTrack", "FleetCurve");
return;
}
track.Speed = speed;
track.CarDirectionBias = 0f;
DLog.Log(
$"call FleetCurveWalk(src=({srcX:0},{srcY:0},id:{srcId}), dst=({dstX:0},{dstY:0},id:{dstId}), " +
$"speed={speed:0.000}, trackType={trackType}, controls={controlPointNum}, track={track.GetType().Name}, " +
$"carDirectionBias=0.0)",
"FleetCurveDbg");
if (dstId != -1)
{
while (!TryLock(dstId))
{
Thread.Sleep(50);
}
DLog.Log($"閿佺偣{dstId}瀹屾垚", "FleetCurveDbg");
}
var action = new MultiWheelC.FleetCurveWalk
{
Track = track,
CurveSpeed = speed,
CarDirectionBias = 0f,
SlowDistance = PilotDefinition.Conf.FleetCurveSlowDistance,
FinishDistance = PilotDefinition.Conf.FleetCurveFinishDistance,
FinishSpeed = PilotDefinition.Conf.FleetCurveFinishSpeed,
SlowingPow = PilotDefinition.Conf.FleetCurveSlowingPow,
GcpThetaThreshold = PilotDefinition.Conf.FleetCrabGcpThetaThreshold,
StartSyncTimeoutSec = PilotDefinition.Conf.FleetCrabStartSyncTimeoutSec
};
try
{
new DriveTask(action.Get()).Wait();
}
finally
{
if (srcId != -1)
{
Leave(srcId);
DLog.Log($"release srcId={srcId}", "FleetCurveDbg");
}
}
}
public void ChangeAvoidanceDistance(float stopDistance, float slowDistance)
{
+526
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@@ -0,0 +1,526 @@
using System;
using System.Collections.Generic;
using System.Numerics;
using ClumsyCore;
using ClumsyCore.Interfaces;
using ClumsyCore.Pilot;
using FundamentalLib;
using CommonUsage.Chassis;
using CommonUsage.Mathematics;
using MDCSToolBox.Clumsy.Movements;
using MDCSToolBox.Clumsy.Pilot;
namespace MultiWheelC;
// ===== 车队联动-自动蟹行动作 =====
// 以当前车队中心为起点,构造指定方向和长度的直线路径;
// 执行侧直接写 MultiVehicleAuto...,由 TickMultiVehicle 自动分支统一下发。
//
// 控制思路参考 MDCSToolbox 几何控制器,但实现收在 MultiWheelC 内:
// 1) 读取主车 Detour 反推车队中心,计算沿直线的进度、横向偏差和车身目标朝向偏差;
// 2) 根据横向偏差给前后 GCP 同向修正,根据车身目标朝向偏差给前后 GCP 反向修正;
// 3) 根据终点距离减速,并发布 ideal fleet center 给从车做前馈。
//
// 前提:在主车(MultiVehicleMasterEndpoint=="/")运行,且主车有 Detour 定位。
public class FleetCrabWalk : MovementDefinition
{
/// <summary>路径方向相对启动时车队朝向的夹角(deg,逆时针为正)。</summary>
public float CrabAngleDeg = 45f;
/// <summary>路径方向相对车身目标朝向的夹角(deg,逆时针为正)。MovementTest 会设为 CrabAngleDeg,以保持启动时车身朝向。</summary>
public float BodyToPathAngleDeg = 45f;
/// <summary>路径长度(mm)。</summary>
public float CrabLengthMm = 2000f;
/// <summary>行驶速度(m/s)。</summary>
public float CrabSpeed = 0.2f;
/// <summary>速度命令加速度限制(m/s^2),小于等于 0 表示不限制。</summary>
public float FleetCrabAccel = 0.2f;
/// <summary>预对齐后正式下发速度前 5 秒加速度限制(m/s^2),小于等于 0 表示不限制。</summary>
public float FleetCrabStartAccel = 0.01f;
/// <summary>末端开始减速距离(mm)。</summary>
public float FleetCrabSlowDistance = 2000f;
/// <summary>完成距离(mm),低于该剩余距离结束动作。</summary>
public float FleetCrabFinishDistance = 20f;
/// <summary>末端最低速度(m/s)。</summary>
public float FleetCrabFinishSpeed = 0.02f;
/// <summary>末端减速曲线指数。</summary>
public float FleetCrabSlowingPow = 0.8f;
/// <summary>前后 GCP 舵角修正上限(deg)。</summary>
public float GcpThetaThreshold = 95f;
private bool _stopping;
private void Cleanup()
{
var self = PilotDefinition.Self;
self.MultiVehicleScriptVx = 0;
self.MultiVehicleScriptVy = 0;
self.MultiVehicleScriptVth = 0;
self.MultiVehicleScriptMode = 0;
self.MultiVehicleScriptEnabled = false;
self.MultiVehicleAutoVx = 0;
self.MultiVehicleAutoFrontTh = 0;
self.MultiVehicleAutoRearTh = 0;
self.MultiVehicleAutoHasIdeal = false;
self.MultiVehicleAutoEnabled = false;
}
public void Stop()
{
_stopping = true;
Cleanup();
}
private static float Clamp(float value, float min, float max)
{
if (value < min) return min;
if (value > max) return max;
return value;
}
private static float ClampAbs(float value, float limit)
{
var absLimit = Math.Abs(limit);
if (absLimit <= 0) return value;
if (value > absLimit) return absLimit;
if (value < -absLimit) return -absLimit;
return value;
}
private static float Slew(float current, float target, float maxDelta)
{
if (maxDelta <= 0) return target;
if (target > current + maxDelta) return current + maxDelta;
if (target < current - maxDelta) return current - maxDelta;
return target;
}
private static float AverageAngle(float frontTh, float rearTh)
{
var diff = (float)CommonMath.ThDiff(frontTh, rearTh);
return (float)CommonMath.RoundTh(rearTh + diff / 2f);
}
private static void ResolveCrabDriveEquivalent(float speed, float rawFrontTh, float rawRearTh, float steerLimit,
out float driveSpeed, out float frontTh, out float rearTh, out bool reverseEquivalent, out float rawBaseTh)
{
var limit = Math.Min(179f, Math.Max(1f, Math.Abs(steerLimit)));
rawBaseTh = AverageAngle(rawFrontTh, rawRearTh);
driveSpeed = speed;
frontTh = rawFrontTh;
rearTh = rawRearTh;
reverseEquivalent = false;
if (rawBaseTh > limit)
{
frontTh = (float)CommonMath.RoundTh(frontTh - 180f);
rearTh = (float)CommonMath.RoundTh(rearTh - 180f);
driveSpeed = -driveSpeed;
reverseEquivalent = true;
}
else if (rawBaseTh < -limit)
{
frontTh = (float)CommonMath.RoundTh(frontTh + 180f);
rearTh = (float)CommonMath.RoundTh(rearTh + 180f);
driveSpeed = -driveSpeed;
reverseEquivalent = true;
}
frontTh = ClampAbs(frontTh, limit);
rearTh = ClampAbs(rearTh, limit);
}
private static float ProbeSpeed(float speed)
{
return Math.Abs(speed) > 1e-4f ? speed : 1f;
}
private static bool TryGetMotionYawSign(float frontTh, float rearTh, float driveSpeed, float controlRadius,
out float yawSign)
{
yawSign = 0f;
if (Math.Abs(CommonMath.ThDiff(frontTh, rearTh)) <= 1e-3f)
return false;
var radius = Math.Max(1f, Math.Abs(controlRadius));
Vector2 pFront = new(radius, 0), pRear = new(-radius, 0),
normFront = CommonMath.Transform2D(pFront, frontTh + 90f, Vector2.UnitX),
normRear = CommonMath.Transform2D(pRear, rearTh + 90f, Vector2.UnitX);
var (intersect, center) = CommonMath.TwoLinesIntersection(pFront, normFront, pRear, normRear);
if (!intersect)
return false;
// Match MultiWheelChassis.SendMotion: the tangent side is selected by
// rotCenter.Y > 1, and reverse-equivalent motion flips the yaw direction.
var tangentSign = center.Y > 1f ? 1f : -1f;
var speedSign = driveSpeed >= 0f ? 1f : -1f;
yawSign = speedSign * tangentSign;
return true;
}
private static float GetYawSplitSign(float baseTh, float speed, float steerLimit, float controlRadius)
{
const float probeDth = 1f;
ResolveCrabDriveEquivalent(ProbeSpeed(speed), baseTh + probeDth, baseTh - probeDth, steerLimit,
out var probeSpeed, out var probeFrontTh, out var probeRearTh, out _, out _);
return TryGetMotionYawSign(probeFrontTh, probeRearTh, probeSpeed, controlRadius, out var yawSign)
? yawSign
: 1f;
}
private static float EstimateLateralVelocity(float bodyTh, float frontTh, float rearTh, float driveSpeed,
Vector2 pathLeft)
{
var motionTh = (float)CommonMath.RoundTh(bodyTh + AverageAngle(frontTh, rearTh));
var rad = motionTh / 180f * Math.PI;
var dir = new Vector2((float)Math.Cos(rad), (float)Math.Sin(rad));
if (driveSpeed < 0f)
dir = -dir;
return Vector2.Dot(dir, pathLeft);
}
private static float ScoreBiasSign(float baseTh, float bodyTh, float speed, float steerLimit, Vector2 pathLeft,
float lateral, float biasProbe)
{
ResolveCrabDriveEquivalent(ProbeSpeed(speed), baseTh + biasProbe, baseTh + biasProbe, steerLimit,
out var probeSpeed, out var probeFrontTh, out var probeRearTh, out _, out _);
var lateralVelocity = EstimateLateralVelocity(bodyTh, probeFrontTh, probeRearTh, probeSpeed, pathLeft);
return -Math.Sign(lateral) * lateralVelocity;
}
private static float GetLateralBiasSign(float baseTh, float bodyTh, float speed, float steerLimit, Vector2 pathLeft,
float lateral)
{
if (Math.Abs(lateral) <= 1e-3f)
return 1f;
const float probeBias = 1f;
var positiveScore = ScoreBiasSign(baseTh, bodyTh, speed, steerLimit, pathLeft, lateral, probeBias);
var negativeScore = ScoreBiasSign(baseTh, bodyTh, speed, steerLimit, pathLeft, lateral, -probeBias);
return positiveScore >= negativeScore ? 1f : -1f;
}
private static bool TryGetControlFleetCenter(PilotDefinition self, out float centerX, out float centerY,
out float centerTh, out string source)
{
if (self.TryGetFleetCenterFromMembers(out centerX, out centerY, out centerTh))
{
source = "fleet";
return true;
}
if (self.TryGetFleetCenterFromSlam(out centerX, out centerY, out centerTh))
{
source = "slam";
return true;
}
source = "none";
return false;
}
public override IEnumerable<bool> Get()
{
var self = PilotDefinition.Self;
var conf = PilotDefinition.Conf;
var chassis = BasicPilotBase.Chassis as MultiWheelChassis;
if (chassis == null)
{
DLog.Log("ABORT: FleetCrabWalk requires MultiWheelChassis.", "FleetCrabDbg");
yield break;
}
_stopping = false;
DLog.Log(
$"ENTER master?={conf.MultiVehicleMasterEndpoint == "/"} endpoint={conf.MultiVehicleMasterEndpoint} " +
$"fleetNum={conf.MultiVehicleFleetNum} useDetect={conf.MultiVehicleUseDetect} " +
$"syncUseDetour={conf.MultiVehicleSyncUseDetour} useIdealCenter={conf.MultiVehicleAutoUseIdealCenter} " +
$"autoFields=true pathMode=relative pathAngle={CrabAngleDeg:0.0} " +
$"bodyToPath={BodyToPathAngleDeg:0.0} gcpLimit={GcpThetaThreshold:0.0} " +
$"biasFac={conf.BiasFac:0.00} fleetCrabDthFac={conf.FleetCrabDthLinearFac:0.00}",
"FleetCrabDbg");
if (conf.MultiVehicleMasterEndpoint != "/")
{
DLog.Log($"ABORT: 非主车 (endpoint={conf.MultiVehicleMasterEndpoint})", "FleetCrabDbg");
Hedingben.ToastText("车队蟹行需在主车(主车端点=\"/\")运行", "FleetCrab");
yield break;
}
// 注意:getCartLocation() 在无有效 Detour 定位时会阻塞——若卡在这里且后面看不到 CENTER 日志,即定位未就绪。
DLog.Log("主车校验通过,开始读取车队中心 (getCartLocation 无定位会阻塞)…", "FleetCrabDbg");
if (!TryGetControlFleetCenter(self, out var x0, out var y0, out var theta, out var initialCenterSource))
{
DLog.Log("ABORT: TryGetFleetCenterFromSlam 返回 false (无定位)", "FleetCrabDbg");
Hedingben.ToastText("车队蟹行需要主车 Detour 定位", "FleetCrab");
yield break;
}
DLog.Log($"CENTER 车队中心=({x0:0},{y0:0},{theta:0.0})", "FleetCrabDbg");
DLog.Log($"CENTER_SOURCE source={initialCenterSource} center=({x0:0},{y0:0},{theta:0.0})", "FleetCrabDbg");
var pathStart = new Vector2(x0, y0);
var pathLengthMm = CrabLengthMm;
var phi = CommonMath.RoundTh(theta + CrabAngleDeg);
var dst = CommonMath.Transform2D(pathStart, phi, new Vector2(pathLengthMm, 0));
var targetBodyTh = CommonMath.RoundTh(phi - BodyToPathAngleDeg);
var phiRad = phi / 180.0 * Math.PI;
var pathDir = new Vector2((float)Math.Cos(phiRad), (float)Math.Sin(phiRad));
var pathLeft = new Vector2(-pathDir.Y, pathDir.X);
DLog.Log(
$"START center=({x0:0},{y0:0},{theta:0.0}) pathMode=relative " +
$"src=({pathStart.X:0},{pathStart.Y:0}) pathAngle={CrabAngleDeg:0.0} bodyToPath={BodyToPathAngleDeg:0.0} " +
$"phi={phi:0.0} targetBody={targetBodyTh:0.0} " +
$"len={pathLengthMm:0} dst=({dst.X:0},{dst.Y:0}) speed={CrabSpeed:0.000} startAccel={FleetCrabStartAccel:0.000} accel={FleetCrabAccel:0.000} " +
$"slow={FleetCrabSlowDistance:0} finishDist={FleetCrabFinishDistance:0} " +
$"finishSpeed={FleetCrabFinishSpeed:0.000} slowingPow={FleetCrabSlowingPow:0.00}",
"FleetCrabDbg");
var gcpLimit = Math.Max(1f, Math.Abs(GcpThetaThreshold));
var controlRadius = Math.Max(1f, Math.Abs(conf.TestCarSyncDistance) / 2f);
ResolveCrabDriveEquivalent(0f, (float)CommonMath.ThDiff(phi, theta),
(float)CommonMath.ThDiff(phi, theta), gcpLimit, out _, out var holdFrontTh, out var holdRearTh,
out _, out _);
var warmStart = DateTime.Now;
var warmSeqBaseline = self.BeginFleetMotionWarmup();
self.MultiVehicleScriptEnabled = false;
self.MultiVehicleScriptMode = 0;
self.MultiVehicleScriptVx = 0;
self.MultiVehicleScriptVy = 0;
self.MultiVehicleScriptVth = 0;
self.MultiVehicleAutoEnabled = true;
self.MultiVehicleAutoVx = 0;
self.MultiVehicleAutoFrontTh = holdFrontTh;
self.MultiVehicleAutoRearTh = holdRearTh;
self.MultiVehicleAutoIdealX = pathStart.X;
self.MultiVehicleAutoIdealY = pathStart.Y;
self.MultiVehicleAutoIdealTh = targetBodyTh;
self.MultiVehicleAutoHasIdeal = true;
self.MultiVehicleAutoCmdTime = DateTime.Now;
self.PrimeMasterAutoFromSlam();
DLog.Log(
$"WARMUP auto fields enabled, waiting for fleet startup sync seqBase={warmSeqBaseline} " +
$"hold=({holdFrontTh:0.00},{holdRearTh:0.00})",
"FleetCrabDbg");
var warmEnd = warmStart.AddSeconds(Math.Max(1.0f, conf.FleetCrabStartSyncTimeoutSec));
var warmIter = 0;
var warmReady = false;
var warmDetail = "";
while (!_stopping && DateTime.Now < warmEnd)
{
warmIter++;
self.MultiVehicleScriptEnabled = false;
self.MultiVehicleScriptMode = 0;
self.MultiVehicleAutoEnabled = true;
self.MultiVehicleAutoVx = 0;
self.MultiVehicleAutoFrontTh = holdFrontTh;
self.MultiVehicleAutoRearTh = holdRearTh;
self.MultiVehicleAutoIdealX = pathStart.X;
self.MultiVehicleAutoIdealY = pathStart.Y;
self.MultiVehicleAutoIdealTh = targetBodyTh;
self.MultiVehicleAutoHasIdeal = true;
self.MultiVehicleAutoCmdTime = DateTime.Now;
self.PrimeMasterAutoFromSlam();
var snap = self.GetFleetCenterSnapshot();
int cnt;
lock (self.FleetLock) cnt = self.MultiVehicleFleet.Count;
if (warmIter % 5 == 0)
DLog.Log(
$"WARMUP#{warmIter} 快照=({snap.X:0},{snap.Y:0},{snap.Th:0.0}) tick={snap.Tick} " +
$"autoEn={self.MultiVehicleAutoEnabled} scriptEn={self.MultiVehicleScriptEnabled} cnt={cnt}/{conf.MultiVehicleFleetNum} " +
$"detail={warmDetail}",
"FleetCrabDbg");
if (self.IsFleetMotionWarmupReady(warmStart, warmSeqBaseline,
conf.TestCarSyncTh, conf.TestCarSyncDistance, out warmDetail))
{
warmReady = true;
DLog.Log(
$"WARMUP done iter={warmIter} 快照=({snap.X:0},{snap.Y:0},{snap.Th:0.0}) cnt={cnt} detail={warmDetail}",
"FleetCrabDbg");
break;
}
yield return true;
}
if (!warmReady)
{
DLog.Log($"WARMUP timeout: fleet startup sync failed, abort action. detail={warmDetail}",
"FleetCrabDbg");
Hedingben.ToastText("车队蟹行启动同步超时,已取消", "FleetCrab");
Cleanup();
yield break;
}
Hedingben.ToastText($"车队蟹行 路径{phi:0.0}° 车身夹角{BodyToPathAngleDeg:0.0}° 长度{pathLengthMm:0}mm", "FleetCrab");
if (warmReady && self.TryGetFleetCenterFromMembers(out var warmX, out var warmY, out var warmTh))
{
x0 = warmX;
y0 = warmY;
theta = warmTh;
pathStart = new Vector2(x0, y0);
phi = CommonMath.RoundTh(theta + CrabAngleDeg);
dst = CommonMath.Transform2D(pathStart, phi, new Vector2(pathLengthMm, 0));
targetBodyTh = CommonMath.RoundTh(phi - BodyToPathAngleDeg);
phiRad = phi / 180.0 * Math.PI;
pathDir = new Vector2((float)Math.Cos(phiRad), (float)Math.Sin(phiRad));
pathLeft = new Vector2(-pathDir.Y, pathDir.X);
self.MultiVehicleAutoIdealX = pathStart.X;
self.MultiVehicleAutoIdealY = pathStart.Y;
self.MultiVehicleAutoIdealTh = targetBodyTh;
self.MultiVehicleAutoCmdTime = DateTime.Now;
DLog.Log(
$"WARMUP_REBASE source=fleet center=({x0:0},{y0:0},{theta:0.0}) phi={phi:0.0} targetBody={targetBodyTh:0.0} dst=({dst.X:0},{dst.Y:0})",
"FleetCrabDbg");
}
var iter = 0;
var lastLog = DateTime.MinValue;
var finishDistance = Math.Max(0f, FleetCrabFinishDistance);
var slowDistance = Math.Max(finishDistance + 1f, FleetCrabSlowDistance);
var baseSpeed = Math.Abs(CrabSpeed);
var finishSpeed = Math.Min(baseSpeed, Math.Abs(FleetCrabFinishSpeed));
var slowingPow = Math.Max(0.01f, FleetCrabSlowingPow);
var accel = Math.Abs(FleetCrabAccel);
var startAccel = Math.Abs(FleetCrabStartAccel);
var cmdSpeed = 0f;
var lastTick = DateTime.Now;
var speedRampStart = DateTime.Now;
var stopReason = "done";
while (!_stopping)
{
iter++;
if (!TryGetControlFleetCenter(self, out var cx, out var cy, out var cth, out var centerSource))
{
stopReason = "fleet center invalid";
DLog.Log("ABORT: TryGetControlFleetCenter returned false during auto crab.", "FleetCrabDbg");
break;
}
var delta = new Vector2(cx - pathStart.X, cy - pathStart.Y);
var along = Vector2.Dot(delta, pathDir);
var lateral = Vector2.Dot(delta, pathLeft);
var remain = pathLengthMm - along;
if (remain <= finishDistance)
break;
var targetSpeed = baseSpeed;
var slowRatio = 1f;
if (remain < slowDistance)
{
slowRatio = (float)Math.Pow(Clamp(Math.Max(0, remain) / slowDistance, 0f, 1f), slowingPow);
targetSpeed = slowRatio * (baseSpeed - finishSpeed) + finishSpeed;
}
var now = DateTime.Now;
var dt = Math.Max(0.001f, (float)(now - lastTick).TotalSeconds);
lastTick = now;
var rampElapsed = (now - speedRampStart).TotalSeconds;
var activeAccel = rampElapsed < 5.0 ? startAccel : accel;
var speed = activeAccel > 0 ? Slew(cmdSpeed, targetSpeed, activeAccel * dt) : targetSpeed;
cmdSpeed = speed;
var baseCrabTh = (float)CommonMath.ThDiff(phi, cth);
var headingErr = (float)CommonMath.ThDiff(targetBodyTh, cth);
var headingErrReverse = (float)CommonMath.ThDiff(cth, targetBodyTh);
var targetBodyToPath = (float)CommonMath.ThDiff(phi, targetBodyTh);
var rawBiasMagnitude = (float)(Math.Atan(conf.BiasFac * Math.Abs(lateral) / 1000f /
Math.Max(speed, 0.3f)) / Math.PI * 180.0);
var biasSign = GetLateralBiasSign(baseCrabTh, cth, speed, gcpLimit, pathLeft, lateral);
var rawBiasItem = rawBiasMagnitude * biasSign;
var biasItem = ClampAbs(rawBiasItem, conf.BiasThreshold);
var yawSplitSign = GetYawSplitSign(baseCrabTh + biasItem, speed, gcpLimit, controlRadius);
var rawDthItem = conf.FleetCrabDthLinearFac * headingErr * yawSplitSign;
var dthItem = ClampAbs(rawDthItem, conf.FleetCrabDthLinearThreshold);
var rawFrontTh = baseCrabTh + biasItem + dthItem;
var rawRearTh = baseCrabTh + biasItem - dthItem;
ResolveCrabDriveEquivalent(speed, rawFrontTh, rawRearTh, gcpLimit, out var driveSpeed,
out var frontTh, out var rearTh, out var reverseEquivalent, out var rawBaseTh);
holdFrontTh = frontTh;
holdRearTh = rearTh;
var idealAlong = Clamp(along, 0f, pathLengthMm);
var ideal = pathStart + pathDir * idealAlong;
self.MultiVehicleScriptEnabled = false;
self.MultiVehicleScriptMode = 0;
self.MultiVehicleScriptVx = 0;
self.MultiVehicleScriptVy = 0;
self.MultiVehicleScriptVth = 0;
self.MultiVehicleAutoEnabled = true;
self.MultiVehicleAutoVx = driveSpeed;
self.MultiVehicleAutoFrontTh = frontTh;
self.MultiVehicleAutoRearTh = rearTh;
self.MultiVehicleAutoIdealX = ideal.X;
self.MultiVehicleAutoIdealY = ideal.Y;
self.MultiVehicleAutoIdealTh = targetBodyTh;
self.MultiVehicleAutoHasIdeal = true;
self.MultiVehicleAutoCmdTime = DateTime.Now;
if ((DateTime.Now - lastLog).TotalMilliseconds >= 300)
{
lastLog = DateTime.Now;
var snap = self.GetFleetCenterSnapshot();
int fleetCnt;
lock (self.FleetLock) fleetCnt = self.MultiVehicleFleet.Count;
DLog.Log(
$"ITER#{iter} centerSrc={centerSource} center=({cx:0},{cy:0},{cth:0.0}) snap=({snap.X:0},{snap.Y:0},{snap.Th:0.0}) " +
$"along={along:0} lateral={lateral:0} remain={remain:0} headingErr={headingErr:0.0} " +
$"baseTh={baseCrabTh:0.0} bias={biasItem:0.0} dth={dthItem:0.0} " +
$"slowRatio={slowRatio:0.000} targetV={targetSpeed:0.000} rampT={rampElapsed:0.0} accel={activeAccel:0.000} auto=(vx:{driveSpeed:0.000},fTh:{frontTh:0.0},rTh:{rearTh:0.0}) " +
$"ideal=({ideal.X:0},{ideal.Y:0},{targetBodyTh:0.0}) scriptEn={self.MultiVehicleScriptEnabled} " +
$"cnt={fleetCnt}/{conf.MultiVehicleFleetNum}",
"FleetCrabDbg");
DLog.Log(
$"CTRL iter={iter} centerSrc:{centerSource} phi:{phi:0.00} targetBody:{targetBodyTh:0.00} startTheta:{theta:0.00} " +
$"cth:{cth:0.00} crabAngle:{CrabAngleDeg:0.00} bodyToPathCfg:{BodyToPathAngleDeg:0.00} " +
$"targetBodyToPath:{targetBodyToPath:0.00} bodyToPathNow:{baseCrabTh:0.00} " +
$"headingErr(target-current):{headingErr:0.00} reverse(current-target):{headingErrReverse:0.00} yawSign:{yawSplitSign:0} " +
$"fleetCrabDthFac:{conf.FleetCrabDthLinearFac:0.000} rawDth:{rawDthItem:0.00} dth:{dthItem:0.00} dthLimit:{conf.FleetCrabDthLinearThreshold:0.00} " +
$"lateral:{lateral:0.0} biasFac:{conf.BiasFac:0.000} biasSign:{biasSign:0} rawBias:{rawBiasItem:0.00} bias:{biasItem:0.00} biasLimit:{conf.BiasThreshold:0.00} " +
$"baseTh:{baseCrabTh:0.00} rawBase:{rawBaseTh:0.00} rawOut(f:{rawFrontTh:0.00},r:{rawRearTh:0.00}) " +
$"out(f:{frontTh:0.00},r:{rearTh:0.00}) gcpLimit:{gcpLimit:0.00} revEq:{reverseEquivalent} " +
$"speedRaw:{speed:0.000} speed:{driveSpeed:0.000} rampT:{rampElapsed:0.0} accel:{activeAccel:0.000} along:{along:0.0} remain:{remain:0.0} ideal=({ideal.X:0.0},{ideal.Y:0.0},{targetBodyTh:0.00})",
"FleetCrabHeadingDbg");
}
yield return true;
}
if (_stopping)
stopReason = "stop";
self.MultiVehicleAutoVx = 0;
self.MultiVehicleAutoFrontTh = holdFrontTh;
self.MultiVehicleAutoRearTh = holdRearTh;
self.MultiVehicleAutoCmdTime = DateTime.Now;
DLog.Log(
$"STOP_HOLD iter={iter} reason={stopReason} hold=(fTh:{holdFrontTh:0.0},rTh:{holdRearTh:0.0}) cmdSpeed={cmdSpeed:0.000}",
"FleetCrabDbg");
var settleEnd = DateTime.Now.AddMilliseconds(Math.Max(100, conf.MultiVehicleSyncInterval * 3));
while (!_stopping && DateTime.Now < settleEnd)
{
self.MultiVehicleScriptEnabled = false;
self.MultiVehicleScriptMode = 0;
self.MultiVehicleAutoEnabled = true;
self.MultiVehicleAutoVx = 0;
self.MultiVehicleAutoFrontTh = holdFrontTh;
self.MultiVehicleAutoRearTh = holdRearTh;
self.MultiVehicleAutoCmdTime = DateTime.Now;
yield return true;
}
Cleanup();
Hedingben.ToastText("车队蟹行完成", "FleetCrab");
DLog.Log($"DONE iter={iter} reason={stopReason}", "FleetCrabDbg");
}
}
+411
View File
@@ -0,0 +1,411 @@
using System;
using System.Collections.Generic;
using System.Globalization;
using System.Numerics;
using ClumsyCore;
using ClumsyCore.Interfaces;
using ClumsyCore.Pilot;
using FundamentalLib;
using CommonUsage.Chassis;
using CommonUsage.Mathematics;
using MDCSToolBox.Clumsy.MotionControllers;
using MDCSToolBox.Clumsy.Movements;
using MDCSToolBox.Clumsy.Pilot;
using MDCSToolBox.Clumsy.Tracks;
namespace MultiWheelC;
public class FleetCurveWalk : MovementDefinition
{
public BezierTrack Track;
public List<Vector2> ControlPoints = new();
public float CurveSpeed = 0.2f;
public float CarDirectionBias = 0f;
public int BezierResolution = 100;
public float SlowDistance = 2000f;
public float FinishDistance = 20f;
public float FinishSpeed = 0.02f;
public float SlowingPow = 0.8f;
public float GcpThetaThreshold = 95f;
public float StartSyncTimeoutSec = 8f;
private bool _stopping;
private MultiWheelGeometricController _controller;
private MultiWheelChassis _chassis;
private bool _savedControlPoints;
private float _savedControlRadius;
private Vector2 _savedGcp0;
private Vector2 _savedGcp1;
public void Stop()
{
_stopping = true;
if (_controller != null)
_controller.BreakAndHold = true;
Cleanup();
}
public static bool TryParsePointList(string text, out List<Vector2> points, out string error)
{
points = new List<Vector2>();
error = "";
if (string.IsNullOrWhiteSpace(text))
{
error = "empty control point list";
return false;
}
var segments = text.Split(new[] { ';', '|' }, StringSplitOptions.RemoveEmptyEntries);
for (var i = 0; i < segments.Length; i++)
{
var pair = segments[i].Split(new[] { ',', ' ', '\t' }, StringSplitOptions.RemoveEmptyEntries);
if (pair.Length != 2)
{
error = $"invalid point #{i + 1}: {segments[i]}";
return false;
}
if (!TryParseFloat(pair[0], out var x) || !TryParseFloat(pair[1], out var y))
{
error = $"invalid number in point #{i + 1}: {segments[i]}";
return false;
}
points.Add(new Vector2(x, y));
}
if (points.Count < 3)
{
error = "Bezier curve requires at least 3 control points";
return false;
}
return true;
}
public static List<Vector2> BuildRelativeControlPoints(Vector2 start, float startTh, List<Vector2> relativePoints)
{
var source = relativePoints ?? new List<Vector2>();
var normalized = new List<Vector2>();
if (source.Count == 0 || Vector2.Distance(source[0], Vector2.Zero) > 1f)
normalized.Add(Vector2.Zero);
for (var i = 0; i < source.Count; i++)
normalized.Add(source[i]);
if (normalized.Count < 2)
normalized.Add(new Vector2(1000f, 0f));
if (normalized.Count < 3)
normalized.Add(new Vector2(2000f, 0f));
var result = new List<Vector2>();
for (var i = 0; i < normalized.Count; i++)
result.Add(CommonMath.Transform2D(start, startTh, normalized[i]));
return result;
}
public static List<Vector2> BuildAgvControlPoints(float srcX, float srcY, float dstX, float dstY,
params float[] controlPointCoords)
{
var src = new Vector2(srcX, srcY);
var dst = new Vector2(dstX, dstY);
var result = new List<Vector2>();
if (controlPointCoords == null || controlPointCoords.Length == 0)
{
result.Add(src);
result.Add((src + dst) / 2f);
result.Add(dst);
return result;
}
if (controlPointCoords.Length % 2 != 0)
throw new ArgumentException("FleetCurve controlPointCoords must contain x,y pairs.");
var supplied = new List<Vector2>();
for (var i = 0; i < controlPointCoords.Length; i += 2)
supplied.Add(new Vector2(controlPointCoords[i], controlPointCoords[i + 1]));
if (supplied.Count >= 3 &&
Vector2.Distance(supplied[0], src) <= 10f &&
Vector2.Distance(supplied[supplied.Count - 1], dst) <= 10f)
return supplied;
result.Add(src);
for (var i = 0; i < supplied.Count; i++)
result.Add(supplied[i]);
result.Add(dst);
if (result.Count < 3)
result.Insert(1, (src + dst) / 2f);
return result;
}
private static bool TryParseFloat(string text, out float value)
{
return float.TryParse(text, NumberStyles.Float, CultureInfo.InvariantCulture, out value) ||
float.TryParse(text, out value);
}
private static float ClampAbs(float value, float limit)
{
var absLimit = Math.Abs(limit);
if (absLimit <= 0) return value;
if (value > absLimit) return absLimit;
if (value < -absLimit) return -absLimit;
return value;
}
private static bool TryGetControlFleetCenter(PilotDefinition self, out float centerX, out float centerY,
out float centerTh, out string source)
{
if (self.TryGetFleetCenterFromMembers(out centerX, out centerY, out centerTh))
{
source = "fleet";
return true;
}
if (self.TryGetFleetCenterFromSlam(out centerX, out centerY, out centerTh))
{
source = "slam";
return true;
}
source = "none";
return false;
}
private void Cleanup()
{
var self = PilotDefinition.Self;
self.MultiVehicleScriptVx = 0;
self.MultiVehicleScriptVy = 0;
self.MultiVehicleScriptVth = 0;
self.MultiVehicleScriptMode = 0;
self.MultiVehicleScriptEnabled = false;
self.MultiVehicleAutoVx = 0;
self.MultiVehicleAutoFrontTh = 0;
self.MultiVehicleAutoRearTh = 0;
self.MultiVehicleAutoHasIdeal = false;
self.MultiVehicleAutoEnabled = false;
RestoreControlPointRadius();
}
private void ApplyFleetControlPointRadius(MultiWheelChassis chassis, float radius)
{
if (!_savedControlPoints)
{
_chassis = chassis;
_savedControlRadius = chassis.ControlPointRadius;
var gcps = chassis.GetGeometricControlPoints();
if (gcps.Count >= 2)
{
_savedGcp0 = gcps[0].Position;
_savedGcp1 = gcps[1].Position;
}
_savedControlPoints = true;
}
chassis.ControlPointRadius = radius;
var points = chassis.GetGeometricControlPoints();
if (points.Count >= 2)
{
points[0].Position = new Vector2(radius, 0);
points[1].Position = new Vector2(-radius, 0);
}
}
private void RestoreControlPointRadius()
{
if (!_savedControlPoints || _chassis == null)
return;
_chassis.ControlPointRadius = _savedControlRadius;
var points = _chassis.GetGeometricControlPoints();
if (points.Count >= 2)
{
points[0].Position = _savedGcp0;
points[1].Position = _savedGcp1;
}
_savedControlPoints = false;
}
private static void WriteWarmupAuto(PilotDefinition self, Vector2 idealPos, float idealTh,
float frontTh, float rearTh)
{
self.MultiVehicleScriptEnabled = false;
self.MultiVehicleScriptMode = 0;
self.MultiVehicleScriptVx = 0;
self.MultiVehicleScriptVy = 0;
self.MultiVehicleScriptVth = 0;
self.MultiVehicleAutoEnabled = true;
self.MultiVehicleAutoVx = 0;
self.MultiVehicleAutoFrontTh = frontTh;
self.MultiVehicleAutoRearTh = rearTh;
self.MultiVehicleAutoIdealX = idealPos.X;
self.MultiVehicleAutoIdealY = idealPos.Y;
self.MultiVehicleAutoIdealTh = idealTh;
self.MultiVehicleAutoHasIdeal = true;
self.MultiVehicleAutoCmdTime = DateTime.Now;
}
public override IEnumerable<bool> Get()
{
var self = PilotDefinition.Self;
var conf = PilotDefinition.Conf;
var chassis = BasicPilotBase.Chassis as MultiWheelChassis;
_stopping = false;
if (chassis == null)
{
DLog.Log("ABORT: FleetCurveWalk requires MultiWheelChassis.", "FleetCurveDbg");
yield break;
}
if (conf.MultiVehicleMasterEndpoint != "/")
{
DLog.Log($"ABORT: FleetCurveWalk must run on master endpoint, endpoint={conf.MultiVehicleMasterEndpoint}",
"FleetCurveDbg");
Hedingben.ToastText("FleetCurve requires master vehicle", "FleetCurve");
yield break;
}
if (Track == null && (ControlPoints == null || ControlPoints.Count < 3))
{
DLog.Log("ABORT: FleetCurveWalk requires a BezierTrack or at least 3 control points.", "FleetCurveDbg");
Hedingben.ToastText("FleetCurve requires track or >=3 control points", "FleetCurve");
yield break;
}
if (!TryGetControlFleetCenter(self, out var x0, out var y0, out var theta, out var initialCenterSource))
{
DLog.Log("ABORT: FleetCurveWalk failed to read fleet center.", "FleetCurveDbg");
Hedingben.ToastText("FleetCurve requires master localization", "FleetCurve");
yield break;
}
var baseSpeed = Math.Abs(CurveSpeed);
if (baseSpeed <= 1e-4f)
{
DLog.Log("ABORT: FleetCurveWalk speed is zero.", "FleetCurveDbg");
yield break;
}
var resolution = Math.Max(2, BezierResolution);
var speedFinish = Math.Min(baseSpeed, Math.Abs(FinishSpeed));
var gcpLimit = Math.Max(1f, Math.Abs(GcpThetaThreshold));
var controlRadius = Math.Max(1f, Math.Abs(conf.TestCarSyncDistance) / 2f);
ApplyFleetControlPointRadius(chassis, controlRadius);
try
{
var track = Track;
var trackSource = "external";
if (track == null)
{
var points = new List<Vector2>(ControlPoints);
track = new BezierTrack(points, resolution);
trackSource = "controlPoints";
}
track.CarDirectionBias = CarDirectionBias;
track.Speed = baseSpeed;
var center = new Vector2(x0, y0);
var (idealPos, idealAngle, bias, pd) = track.QueryTangentPoint(center);
var carDirection = (float)CommonMath.ThDiff(theta, CarDirectionBias);
var holdTh = ClampAbs((float)CommonMath.ThDiff(idealAngle, carDirection), gcpLimit);
var targetBodyTh = (float)CommonMath.RoundTh(idealAngle + CarDirectionBias);
DLog.Log(
$"START center=({x0:0},{y0:0},{theta:0.0}) source={initialCenterSource} " +
$"track={track.GetType().Name} trackSource={trackSource} controls={ControlPoints?.Count ?? 0} " +
$"len={track.Length():0} speed={baseSpeed:0.000} bias={CarDirectionBias:0.0} " +
$"query=({idealPos.X:0},{idealPos.Y:0}) tangent={idealAngle:0.0} targetBody={targetBodyTh:0.0} " +
$"pathBias={bias:0.0} pd={pd:0.0} hold={holdTh:0.0} radius={controlRadius:0}",
"FleetCurveDbg");
var warmStart = DateTime.Now;
var warmSeqBaseline = self.BeginFleetMotionWarmup();
WriteWarmupAuto(self, idealPos, targetBodyTh, holdTh, holdTh);
self.PrimeMasterAutoFromSlam();
var warmEnd = warmStart.AddSeconds(Math.Max(1.0f, StartSyncTimeoutSec));
var warmIter = 0;
var warmReady = false;
var warmDetail = "";
while (!_stopping && DateTime.Now < warmEnd)
{
warmIter++;
WriteWarmupAuto(self, idealPos, targetBodyTh, holdTh, holdTh);
self.PrimeMasterAutoFromSlam();
if (warmIter % 5 == 0)
{
var snap = self.GetFleetCenterSnapshot();
int cnt;
lock (self.FleetLock) cnt = self.MultiVehicleFleet.Count;
DLog.Log(
$"WARMUP#{warmIter} snap=({snap.X:0},{snap.Y:0},{snap.Th:0.0}) " +
$"cnt={cnt}/{conf.MultiVehicleFleetNum} detail={warmDetail}",
"FleetCurveDbg");
}
if (self.IsFleetMotionWarmupReady(warmStart, warmSeqBaseline,
conf.TestCarSyncTh, conf.TestCarSyncDistance, out warmDetail))
{
warmReady = true;
DLog.Log($"WARMUP done iter={warmIter} detail={warmDetail}", "FleetCurveDbg");
break;
}
yield return true;
}
if (!warmReady)
{
DLog.Log($"WARMUP timeout: fleet startup sync failed, abort curve action. detail={warmDetail}",
"FleetCurveDbg");
Hedingben.ToastText("FleetCurve startup sync timeout", "FleetCurve");
Cleanup();
yield break;
}
_controller = new ChassisController { BaseSpeed = baseSpeed }.Get();
_controller.MultiVehicleSync = true;
_controller.BaseSpeed = baseSpeed;
_controller.SlowDistance = Math.Max(FinishDistance + 1f, SlowDistance);
_controller.FinishDistance = Math.Max(0f, FinishDistance);
_controller.FinishSpeed = speedFinish;
_controller.SlowingPow = Math.Max(0.01f, SlowingPow);
_controller.GcpThetaThreshold = gcpLimit;
_controller.AddTrack(track, "FleetCurve");
Hedingben.ToastText($"FleetCurve len {track.Length():0}mm speed {baseSpeed:0.00}", "FleetCurve");
foreach (var running in _controller.Track())
{
if (_stopping)
break;
if (!running)
break;
yield return true;
}
if (!_stopping)
{
self.MultiVehicleAutoVx = 0;
self.MultiVehicleAutoCmdTime = DateTime.Now;
var settleEnd = DateTime.Now.AddMilliseconds(Math.Max(100, conf.MultiVehicleSyncInterval * 3));
while (!_stopping && DateTime.Now < settleEnd)
{
self.MultiVehicleAutoEnabled = true;
self.MultiVehicleAutoVx = 0;
self.MultiVehicleAutoCmdTime = DateTime.Now;
yield return true;
}
}
DLog.Log($"DONE stopping={_stopping}", "FleetCurveDbg");
}
finally
{
Cleanup();
_controller = null;
}
}
}
@@ -520,6 +520,35 @@ namespace MultiWheelC
}
}
[MovementTest(name = "底盘旋转测试")]
public class RotateToAngleTest : MovementTest
{
public override void TestStop()
{
throw new NotImplementedException();
}
public override void Test()
{
var target = UI.GetInput("输入旋转角度:");
var chassis = (MultiWheelChassis)PilotDefinition.Chassis;
new DriveTask(new MultiWheelRotateInPlace()
{
AngleTarget = float.Parse(target),
PidparamsRead = () => new PIDParams()
{
Kp = PilotDefinition.Conf.TireFollowingThkp,
Ki = PilotDefinition.Conf.TireFollowingThki,
Kd = PilotDefinition.Conf.TireFollowingThkd,
DeadZone = PilotDefinition.Conf.TireFollowingThDeadZone,
SpeedAccPerSec = PilotDefinition.Conf.TireFollowingThSpeedAccPerSec,
OutputUpperThreshold = PilotDefinition.Conf.TireFollowingThThresh,
MaxI = PilotDefinition.Conf.TireFollowingThMaxI,
}
}.Get()).Wait();
}
}
public class utils
{
public static List<(float x, float y, float th)> RemoveOutliers(List<(float x, float y, float th)> data, float threshold = 2.0f)
+41 -503
View File
@@ -7,7 +7,6 @@ using ClumsyCore.Pilot;
using FundamentalLib;
using CommonUsage.Chassis;
using CommonUsage.Mathematics;
using MDCSToolBox.Clumsy.MotionControllers;
using MDCSToolBox.Clumsy.Movements;
using MDCSToolBox.Clumsy.Pilot;
using MDCSToolBox.Clumsy.Tracks;
@@ -426,518 +425,57 @@ public class FleetRotateInPlaceTest : MovementTest
}
}
// ===== 车队联动-自动蟹行动作 =====
// 以当前车队中心为起点,构造指定方向和长度的直线路径;
// 执行侧直接写 MultiVehicleAuto...,由 TickMultiVehicle 自动分支统一下发。
//
// 控制思路参考 MDCSToolbox 几何控制器,但实现收在 MultiWheelC 内:
// 1) 读取主车 Detour 反推车队中心,计算沿直线的进度、横向偏差和车身目标朝向偏差;
// 2) 根据横向偏差给前后 GCP 同向修正,根据车身目标朝向偏差给前后 GCP 反向修正;
// 3) 根据终点距离减速,并发布 ideal fleet center 给从车做前馈。
//
// 前提:在主车(MultiVehicleMasterEndpoint=="/")运行,且主车有 Detour 定位。
public class FleetCrabWalk : MovementDefinition
[MovementTest(name = "车队联动-曲线行走")]
public class FleetCurveWalkTest : MovementTest
{
/// <summary>路径方向相对启动时车队朝向的夹角(deg,逆时针为正)。</summary>
public float CrabAngleDeg = 45f;
private FleetCurveWalk _proc;
private DriveTask _task;
/// <summary>路径方向相对车身目标朝向的夹角(deg,逆时针为正)。MovementTest 会设为 CrabAngleDeg,以保持启动时车身朝向。</summary>
public float BodyToPathAngleDeg = 45f;
/// <summary>路径长度(mm)。</summary>
public float CrabLengthMm = 2000f;
/// <summary>行驶速度(m/s)。</summary>
public float CrabSpeed = 0.2f;
/// <summary>速度命令加速度限制(m/s^2),小于等于 0 表示不限制。</summary>
public float FleetCrabAccel = 0.2f;
/// <summary>预对齐后正式下发速度前 5 秒加速度限制(m/s^2),小于等于 0 表示不限制。</summary>
public float FleetCrabStartAccel = 0.01f;
/// <summary>末端开始减速距离(mm)。</summary>
public float FleetCrabSlowDistance = 2000f;
/// <summary>完成距离(mm),低于该剩余距离结束动作。</summary>
public float FleetCrabFinishDistance = 20f;
/// <summary>末端最低速度(m/s)。</summary>
public float FleetCrabFinishSpeed = 0.02f;
/// <summary>末端减速曲线指数。</summary>
public float FleetCrabSlowingPow = 0.8f;
/// <summary>前后 GCP 舵角修正上限(deg)。</summary>
public float GcpThetaThreshold = 95f;
private bool _stopping;
private void Cleanup()
public override void Test()
{
var self = PilotDefinition.Self;
self.MultiVehicleScriptVx = 0;
self.MultiVehicleScriptVy = 0;
self.MultiVehicleScriptVth = 0;
self.MultiVehicleScriptMode = 0;
self.MultiVehicleScriptEnabled = false;
self.MultiVehicleAutoVx = 0;
self.MultiVehicleAutoFrontTh = 0;
self.MultiVehicleAutoRearTh = 0;
self.MultiVehicleAutoHasIdeal = false;
self.MultiVehicleAutoEnabled = false;
}
public void Stop()
{
_stopping = true;
Cleanup();
}
private static float Clamp(float value, float min, float max)
{
if (value < min) return min;
if (value > max) return max;
return value;
}
private static float ClampAbs(float value, float limit)
{
var absLimit = Math.Abs(limit);
if (absLimit <= 0) return value;
if (value > absLimit) return absLimit;
if (value < -absLimit) return -absLimit;
return value;
}
private static float Slew(float current, float target, float maxDelta)
{
if (maxDelta <= 0) return target;
if (target > current + maxDelta) return current + maxDelta;
if (target < current - maxDelta) return current - maxDelta;
return target;
}
private static float AverageAngle(float frontTh, float rearTh)
{
var diff = (float)CommonMath.ThDiff(frontTh, rearTh);
return (float)CommonMath.RoundTh(rearTh + diff / 2f);
}
private static void ResolveCrabDriveEquivalent(float speed, float rawFrontTh, float rawRearTh, float steerLimit,
out float driveSpeed, out float frontTh, out float rearTh, out bool reverseEquivalent, out float rawBaseTh)
{
var limit = Math.Min(179f, Math.Max(1f, Math.Abs(steerLimit)));
rawBaseTh = AverageAngle(rawFrontTh, rawRearTh);
driveSpeed = speed;
frontTh = rawFrontTh;
rearTh = rawRearTh;
reverseEquivalent = false;
if (rawBaseTh > limit)
if (!self.TryGetFleetCenterFromMembers(out var x, out var y, out var th) &&
!self.TryGetFleetCenterFromSlam(out x, out y, out th))
{
frontTh = (float)CommonMath.RoundTh(frontTh - 180f);
rearTh = (float)CommonMath.RoundTh(rearTh - 180f);
driveSpeed = -driveSpeed;
reverseEquivalent = true;
}
else if (rawBaseTh < -limit)
{
frontTh = (float)CommonMath.RoundTh(frontTh + 180f);
rearTh = (float)CommonMath.RoundTh(rearTh + 180f);
driveSpeed = -driveSpeed;
reverseEquivalent = true;
DLog.Log("FleetCurveWalkTest abort: failed to read fleet center.", "FleetCurveDbg");
Hedingben.ToastText("FleetCurve requires master localization", "FleetCurve");
return;
}
frontTh = ClampAbs(frontTh, limit);
rearTh = ClampAbs(rearTh, limit);
var pointCount = Math.Max(3, PilotDefinition.Conf.FleetCurveTestControlPointCount);
var controlPoints = new List<Vector2>();
for (var i = 0; i < pointCount; i++)
controlPoints.Add(UI.GetPoint($"FleetCurve point {i + 1}/{pointCount}"));
var fleetCenter = new Vector2(x, y);
if (Vector2.Distance(fleetCenter, controlPoints[0]) >
Vector2.Distance(fleetCenter, controlPoints[controlPoints.Count - 1]))
controlPoints.Reverse();
var track = new BezierTrack(controlPoints)
{
Speed = PilotDefinition.Conf.FleetCurveSpeed,
CarDirectionBias = 0f
};
_proc = new FleetCurveWalk
{
Track = track,
CurveSpeed = PilotDefinition.Conf.FleetCurveSpeed,
CarDirectionBias = 0f,
SlowDistance = PilotDefinition.Conf.FleetCurveSlowDistance,
FinishDistance = PilotDefinition.Conf.FleetCurveFinishDistance,
FinishSpeed = PilotDefinition.Conf.FleetCurveFinishSpeed,
SlowingPow = PilotDefinition.Conf.FleetCurveSlowingPow,
GcpThetaThreshold = PilotDefinition.Conf.FleetCrabGcpThetaThreshold,
StartSyncTimeoutSec = PilotDefinition.Conf.FleetCrabStartSyncTimeoutSec
};
_task = new DriveTask(_proc.Get());
_task.Wait();
}
private static float ProbeSpeed(float speed)
public override void TestStop()
{
return Math.Abs(speed) > 1e-4f ? speed : 1f;
}
private static bool TryGetMotionYawSign(float frontTh, float rearTh, float driveSpeed, float controlRadius,
out float yawSign)
{
yawSign = 0f;
if (Math.Abs(CommonMath.ThDiff(frontTh, rearTh)) <= 1e-3f)
return false;
var radius = Math.Max(1f, Math.Abs(controlRadius));
Vector2 pFront = new(radius, 0), pRear = new(-radius, 0),
normFront = CommonMath.Transform2D(pFront, frontTh + 90f, Vector2.UnitX),
normRear = CommonMath.Transform2D(pRear, rearTh + 90f, Vector2.UnitX);
var (intersect, center) = CommonMath.TwoLinesIntersection(pFront, normFront, pRear, normRear);
if (!intersect)
return false;
// Match MultiWheelChassis.SendMotion: the tangent side is selected by
// rotCenter.Y > 1, and reverse-equivalent motion flips the yaw direction.
var tangentSign = center.Y > 1f ? 1f : -1f;
var speedSign = driveSpeed >= 0f ? 1f : -1f;
yawSign = speedSign * tangentSign;
return true;
}
private static float GetYawSplitSign(float baseTh, float speed, float steerLimit, float controlRadius)
{
const float probeDth = 1f;
ResolveCrabDriveEquivalent(ProbeSpeed(speed), baseTh + probeDth, baseTh - probeDth, steerLimit,
out var probeSpeed, out var probeFrontTh, out var probeRearTh, out _, out _);
return TryGetMotionYawSign(probeFrontTh, probeRearTh, probeSpeed, controlRadius, out var yawSign)
? yawSign
: 1f;
}
private static float EstimateLateralVelocity(float bodyTh, float frontTh, float rearTh, float driveSpeed,
Vector2 pathLeft)
{
var motionTh = (float)CommonMath.RoundTh(bodyTh + AverageAngle(frontTh, rearTh));
var rad = motionTh / 180f * Math.PI;
var dir = new Vector2((float)Math.Cos(rad), (float)Math.Sin(rad));
if (driveSpeed < 0f)
dir = -dir;
return Vector2.Dot(dir, pathLeft);
}
private static float ScoreBiasSign(float baseTh, float bodyTh, float speed, float steerLimit, Vector2 pathLeft,
float lateral, float biasProbe)
{
ResolveCrabDriveEquivalent(ProbeSpeed(speed), baseTh + biasProbe, baseTh + biasProbe, steerLimit,
out var probeSpeed, out var probeFrontTh, out var probeRearTh, out _, out _);
var lateralVelocity = EstimateLateralVelocity(bodyTh, probeFrontTh, probeRearTh, probeSpeed, pathLeft);
return -Math.Sign(lateral) * lateralVelocity;
}
private static float GetLateralBiasSign(float baseTh, float bodyTh, float speed, float steerLimit, Vector2 pathLeft,
float lateral)
{
if (Math.Abs(lateral) <= 1e-3f)
return 1f;
const float probeBias = 1f;
var positiveScore = ScoreBiasSign(baseTh, bodyTh, speed, steerLimit, pathLeft, lateral, probeBias);
var negativeScore = ScoreBiasSign(baseTh, bodyTh, speed, steerLimit, pathLeft, lateral, -probeBias);
return positiveScore >= negativeScore ? 1f : -1f;
}
private static bool TryGetControlFleetCenter(PilotDefinition self, out float centerX, out float centerY,
out float centerTh, out string source)
{
if (self.TryGetFleetCenterFromMembers(out centerX, out centerY, out centerTh))
{
source = "fleet";
return true;
}
if (self.TryGetFleetCenterFromSlam(out centerX, out centerY, out centerTh))
{
source = "slam";
return true;
}
source = "none";
return false;
}
public override IEnumerable<bool> Get()
{
var self = PilotDefinition.Self;
var conf = PilotDefinition.Conf;
var chassis = BasicPilotBase.Chassis as MultiWheelChassis;
if (chassis == null)
{
DLog.Log("ABORT: FleetCrabWalk requires MultiWheelChassis.", "FleetCrabDbg");
yield break;
}
_stopping = false;
DLog.Log(
$"ENTER master?={conf.MultiVehicleMasterEndpoint == "/"} endpoint={conf.MultiVehicleMasterEndpoint} " +
$"fleetNum={conf.MultiVehicleFleetNum} useDetect={conf.MultiVehicleUseDetect} " +
$"syncUseDetour={conf.MultiVehicleSyncUseDetour} useIdealCenter={conf.MultiVehicleAutoUseIdealCenter} " +
$"autoFields=true pathMode=relative pathAngle={CrabAngleDeg:0.0} " +
$"bodyToPath={BodyToPathAngleDeg:0.0} gcpLimit={GcpThetaThreshold:0.0} " +
$"biasFac={conf.BiasFac:0.00} fleetCrabDthFac={conf.FleetCrabDthLinearFac:0.00}",
"FleetCrabDbg");
if (conf.MultiVehicleMasterEndpoint != "/")
{
DLog.Log($"ABORT: 非主车 (endpoint={conf.MultiVehicleMasterEndpoint})", "FleetCrabDbg");
Hedingben.ToastText("车队蟹行需在主车(主车端点=\"/\")运行", "FleetCrab");
yield break;
}
// 注意:getCartLocation() 在无有效 Detour 定位时会阻塞——若卡在这里且后面看不到 CENTER 日志,即定位未就绪。
DLog.Log("主车校验通过,开始读取车队中心 (getCartLocation 无定位会阻塞)…", "FleetCrabDbg");
if (!TryGetControlFleetCenter(self, out var x0, out var y0, out var theta, out var initialCenterSource))
{
DLog.Log("ABORT: TryGetFleetCenterFromSlam 返回 false (无定位)", "FleetCrabDbg");
Hedingben.ToastText("车队蟹行需要主车 Detour 定位", "FleetCrab");
yield break;
}
DLog.Log($"CENTER 车队中心=({x0:0},{y0:0},{theta:0.0})", "FleetCrabDbg");
DLog.Log($"CENTER_SOURCE source={initialCenterSource} center=({x0:0},{y0:0},{theta:0.0})", "FleetCrabDbg");
var pathStart = new Vector2(x0, y0);
var pathLengthMm = CrabLengthMm;
var phi = CommonMath.RoundTh(theta + CrabAngleDeg);
var dst = CommonMath.Transform2D(pathStart, phi, new Vector2(pathLengthMm, 0));
var targetBodyTh = CommonMath.RoundTh(phi - BodyToPathAngleDeg);
var phiRad = phi / 180.0 * Math.PI;
var pathDir = new Vector2((float)Math.Cos(phiRad), (float)Math.Sin(phiRad));
var pathLeft = new Vector2(-pathDir.Y, pathDir.X);
DLog.Log(
$"START center=({x0:0},{y0:0},{theta:0.0}) pathMode=relative " +
$"src=({pathStart.X:0},{pathStart.Y:0}) pathAngle={CrabAngleDeg:0.0} bodyToPath={BodyToPathAngleDeg:0.0} " +
$"phi={phi:0.0} targetBody={targetBodyTh:0.0} " +
$"len={pathLengthMm:0} dst=({dst.X:0},{dst.Y:0}) speed={CrabSpeed:0.000} startAccel={FleetCrabStartAccel:0.000} accel={FleetCrabAccel:0.000} " +
$"slow={FleetCrabSlowDistance:0} finishDist={FleetCrabFinishDistance:0} " +
$"finishSpeed={FleetCrabFinishSpeed:0.000} slowingPow={FleetCrabSlowingPow:0.00}",
"FleetCrabDbg");
var gcpLimit = Math.Max(1f, Math.Abs(GcpThetaThreshold));
var controlRadius = Math.Max(1f, Math.Abs(conf.MultiVehicleControlRadius > 0
? conf.MultiVehicleControlRadius
: conf.TestCarSyncDistance / 2f));
ResolveCrabDriveEquivalent(0f, (float)CommonMath.ThDiff(phi, theta),
(float)CommonMath.ThDiff(phi, theta), gcpLimit, out _, out var holdFrontTh, out var holdRearTh,
out _, out _);
var warmStart = DateTime.Now;
var warmSeqBaseline = self.BeginFleetMotionWarmup();
self.MultiVehicleScriptEnabled = false;
self.MultiVehicleScriptMode = 0;
self.MultiVehicleScriptVx = 0;
self.MultiVehicleScriptVy = 0;
self.MultiVehicleScriptVth = 0;
self.MultiVehicleAutoEnabled = true;
self.MultiVehicleAutoVx = 0;
self.MultiVehicleAutoFrontTh = holdFrontTh;
self.MultiVehicleAutoRearTh = holdRearTh;
self.MultiVehicleAutoIdealX = pathStart.X;
self.MultiVehicleAutoIdealY = pathStart.Y;
self.MultiVehicleAutoIdealTh = targetBodyTh;
self.MultiVehicleAutoHasIdeal = true;
self.MultiVehicleAutoCmdTime = DateTime.Now;
self.PrimeMasterAutoFromSlam();
DLog.Log(
$"WARMUP auto fields enabled, waiting for fleet startup sync seqBase={warmSeqBaseline} " +
$"hold=({holdFrontTh:0.00},{holdRearTh:0.00})",
"FleetCrabDbg");
var warmEnd = warmStart.AddSeconds(Math.Max(1.0f, conf.FleetCrabStartSyncTimeoutSec));
var warmIter = 0;
var warmReady = false;
var warmDetail = "";
while (!_stopping && DateTime.Now < warmEnd)
{
warmIter++;
self.MultiVehicleScriptEnabled = false;
self.MultiVehicleScriptMode = 0;
self.MultiVehicleAutoEnabled = true;
self.MultiVehicleAutoVx = 0;
self.MultiVehicleAutoFrontTh = holdFrontTh;
self.MultiVehicleAutoRearTh = holdRearTh;
self.MultiVehicleAutoIdealX = pathStart.X;
self.MultiVehicleAutoIdealY = pathStart.Y;
self.MultiVehicleAutoIdealTh = targetBodyTh;
self.MultiVehicleAutoHasIdeal = true;
self.MultiVehicleAutoCmdTime = DateTime.Now;
self.PrimeMasterAutoFromSlam();
var snap = self.GetFleetCenterSnapshot();
int cnt;
lock (self.FleetLock) cnt = self.MultiVehicleFleet.Count;
if (warmIter % 5 == 0)
DLog.Log(
$"WARMUP#{warmIter} 快照=({snap.X:0},{snap.Y:0},{snap.Th:0.0}) tick={snap.Tick} " +
$"autoEn={self.MultiVehicleAutoEnabled} scriptEn={self.MultiVehicleScriptEnabled} cnt={cnt}/{conf.MultiVehicleFleetNum} " +
$"detail={warmDetail}",
"FleetCrabDbg");
if (self.IsFleetMotionWarmupReady(warmStart, warmSeqBaseline,
conf.TestCarSyncTh, conf.TestCarSyncDistance, out warmDetail))
{
warmReady = true;
DLog.Log(
$"WARMUP done iter={warmIter} 快照=({snap.X:0},{snap.Y:0},{snap.Th:0.0}) cnt={cnt} detail={warmDetail}",
"FleetCrabDbg");
break;
}
yield return true;
}
if (!warmReady)
{
DLog.Log($"WARMUP timeout: fleet startup sync failed, abort action. detail={warmDetail}",
"FleetCrabDbg");
Hedingben.ToastText("车队蟹行启动同步超时,已取消", "FleetCrab");
Cleanup();
yield break;
}
Hedingben.ToastText($"车队蟹行 路径{phi:0.0}° 车身夹角{BodyToPathAngleDeg:0.0}° 长度{pathLengthMm:0}mm", "FleetCrab");
if (warmReady && self.TryGetFleetCenterFromMembers(out var warmX, out var warmY, out var warmTh))
{
x0 = warmX;
y0 = warmY;
theta = warmTh;
pathStart = new Vector2(x0, y0);
phi = CommonMath.RoundTh(theta + CrabAngleDeg);
dst = CommonMath.Transform2D(pathStart, phi, new Vector2(pathLengthMm, 0));
targetBodyTh = CommonMath.RoundTh(phi - BodyToPathAngleDeg);
phiRad = phi / 180.0 * Math.PI;
pathDir = new Vector2((float)Math.Cos(phiRad), (float)Math.Sin(phiRad));
pathLeft = new Vector2(-pathDir.Y, pathDir.X);
self.MultiVehicleAutoIdealX = pathStart.X;
self.MultiVehicleAutoIdealY = pathStart.Y;
self.MultiVehicleAutoIdealTh = targetBodyTh;
self.MultiVehicleAutoCmdTime = DateTime.Now;
DLog.Log(
$"WARMUP_REBASE source=fleet center=({x0:0},{y0:0},{theta:0.0}) phi={phi:0.0} targetBody={targetBodyTh:0.0} dst=({dst.X:0},{dst.Y:0})",
"FleetCrabDbg");
}
var iter = 0;
var lastLog = DateTime.MinValue;
var finishDistance = Math.Max(0f, FleetCrabFinishDistance);
var slowDistance = Math.Max(finishDistance + 1f, FleetCrabSlowDistance);
var baseSpeed = Math.Abs(CrabSpeed);
var finishSpeed = Math.Min(baseSpeed, Math.Abs(FleetCrabFinishSpeed));
var slowingPow = Math.Max(0.01f, FleetCrabSlowingPow);
var accel = Math.Abs(FleetCrabAccel);
var startAccel = Math.Abs(FleetCrabStartAccel);
var cmdSpeed = 0f;
var lastTick = DateTime.Now;
var speedRampStart = DateTime.Now;
var stopReason = "done";
while (!_stopping)
{
iter++;
if (!TryGetControlFleetCenter(self, out var cx, out var cy, out var cth, out var centerSource))
{
stopReason = "fleet center invalid";
DLog.Log("ABORT: TryGetControlFleetCenter returned false during auto crab.", "FleetCrabDbg");
break;
}
var delta = new Vector2(cx - pathStart.X, cy - pathStart.Y);
var along = Vector2.Dot(delta, pathDir);
var lateral = Vector2.Dot(delta, pathLeft);
var remain = pathLengthMm - along;
if (remain <= finishDistance)
break;
var targetSpeed = baseSpeed;
var slowRatio = 1f;
if (remain < slowDistance)
{
slowRatio = (float)Math.Pow(Clamp(Math.Max(0, remain) / slowDistance, 0f, 1f), slowingPow);
targetSpeed = slowRatio * (baseSpeed - finishSpeed) + finishSpeed;
}
var now = DateTime.Now;
var dt = Math.Max(0.001f, (float)(now - lastTick).TotalSeconds);
lastTick = now;
var rampElapsed = (now - speedRampStart).TotalSeconds;
var activeAccel = rampElapsed < 5.0 ? startAccel : accel;
var speed = activeAccel > 0 ? Slew(cmdSpeed, targetSpeed, activeAccel * dt) : targetSpeed;
cmdSpeed = speed;
var baseCrabTh = (float)CommonMath.ThDiff(phi, cth);
var headingErr = (float)CommonMath.ThDiff(targetBodyTh, cth);
var headingErrReverse = (float)CommonMath.ThDiff(cth, targetBodyTh);
var targetBodyToPath = (float)CommonMath.ThDiff(phi, targetBodyTh);
var rawBiasMagnitude = (float)(Math.Atan(conf.BiasFac * Math.Abs(lateral) / 1000f /
Math.Max(speed, 0.3f)) / Math.PI * 180.0);
var biasSign = GetLateralBiasSign(baseCrabTh, cth, speed, gcpLimit, pathLeft, lateral);
var rawBiasItem = rawBiasMagnitude * biasSign;
var biasItem = ClampAbs(rawBiasItem, conf.BiasThreshold);
var yawSplitSign = GetYawSplitSign(baseCrabTh + biasItem, speed, gcpLimit, controlRadius);
var rawDthItem = conf.FleetCrabDthLinearFac * headingErr * yawSplitSign;
var dthItem = ClampAbs(rawDthItem, conf.FleetCrabDthLinearThreshold);
var rawFrontTh = baseCrabTh + biasItem + dthItem;
var rawRearTh = baseCrabTh + biasItem - dthItem;
ResolveCrabDriveEquivalent(speed, rawFrontTh, rawRearTh, gcpLimit, out var driveSpeed,
out var frontTh, out var rearTh, out var reverseEquivalent, out var rawBaseTh);
holdFrontTh = frontTh;
holdRearTh = rearTh;
var idealAlong = Clamp(along, 0f, pathLengthMm);
var ideal = pathStart + pathDir * idealAlong;
self.MultiVehicleScriptEnabled = false;
self.MultiVehicleScriptMode = 0;
self.MultiVehicleScriptVx = 0;
self.MultiVehicleScriptVy = 0;
self.MultiVehicleScriptVth = 0;
self.MultiVehicleAutoEnabled = true;
self.MultiVehicleAutoVx = driveSpeed;
self.MultiVehicleAutoFrontTh = frontTh;
self.MultiVehicleAutoRearTh = rearTh;
self.MultiVehicleAutoIdealX = ideal.X;
self.MultiVehicleAutoIdealY = ideal.Y;
self.MultiVehicleAutoIdealTh = targetBodyTh;
self.MultiVehicleAutoHasIdeal = true;
self.MultiVehicleAutoCmdTime = DateTime.Now;
if ((DateTime.Now - lastLog).TotalMilliseconds >= 300)
{
lastLog = DateTime.Now;
var snap = self.GetFleetCenterSnapshot();
int fleetCnt;
lock (self.FleetLock) fleetCnt = self.MultiVehicleFleet.Count;
DLog.Log(
$"ITER#{iter} centerSrc={centerSource} center=({cx:0},{cy:0},{cth:0.0}) snap=({snap.X:0},{snap.Y:0},{snap.Th:0.0}) " +
$"along={along:0} lateral={lateral:0} remain={remain:0} headingErr={headingErr:0.0} " +
$"baseTh={baseCrabTh:0.0} bias={biasItem:0.0} dth={dthItem:0.0} " +
$"slowRatio={slowRatio:0.000} targetV={targetSpeed:0.000} rampT={rampElapsed:0.0} accel={activeAccel:0.000} auto=(vx:{driveSpeed:0.000},fTh:{frontTh:0.0},rTh:{rearTh:0.0}) " +
$"ideal=({ideal.X:0},{ideal.Y:0},{targetBodyTh:0.0}) scriptEn={self.MultiVehicleScriptEnabled} " +
$"cnt={fleetCnt}/{conf.MultiVehicleFleetNum}",
"FleetCrabDbg");
DLog.Log(
$"CTRL iter={iter} centerSrc:{centerSource} phi:{phi:0.00} targetBody:{targetBodyTh:0.00} startTheta:{theta:0.00} " +
$"cth:{cth:0.00} crabAngle:{CrabAngleDeg:0.00} bodyToPathCfg:{BodyToPathAngleDeg:0.00} " +
$"targetBodyToPath:{targetBodyToPath:0.00} bodyToPathNow:{baseCrabTh:0.00} " +
$"headingErr(target-current):{headingErr:0.00} reverse(current-target):{headingErrReverse:0.00} yawSign:{yawSplitSign:0} " +
$"fleetCrabDthFac:{conf.FleetCrabDthLinearFac:0.000} rawDth:{rawDthItem:0.00} dth:{dthItem:0.00} dthLimit:{conf.FleetCrabDthLinearThreshold:0.00} " +
$"lateral:{lateral:0.0} biasFac:{conf.BiasFac:0.000} biasSign:{biasSign:0} rawBias:{rawBiasItem:0.00} bias:{biasItem:0.00} biasLimit:{conf.BiasThreshold:0.00} " +
$"baseTh:{baseCrabTh:0.00} rawBase:{rawBaseTh:0.00} rawOut(f:{rawFrontTh:0.00},r:{rawRearTh:0.00}) " +
$"out(f:{frontTh:0.00},r:{rearTh:0.00}) gcpLimit:{gcpLimit:0.00} revEq:{reverseEquivalent} " +
$"speedRaw:{speed:0.000} speed:{driveSpeed:0.000} rampT:{rampElapsed:0.0} accel:{activeAccel:0.000} along:{along:0.0} remain:{remain:0.0} ideal=({ideal.X:0.0},{ideal.Y:0.0},{targetBodyTh:0.00})",
"FleetCrabHeadingDbg");
}
yield return true;
}
if (_stopping)
stopReason = "stop";
self.MultiVehicleAutoVx = 0;
self.MultiVehicleAutoFrontTh = holdFrontTh;
self.MultiVehicleAutoRearTh = holdRearTh;
self.MultiVehicleAutoCmdTime = DateTime.Now;
DLog.Log(
$"STOP_HOLD iter={iter} reason={stopReason} hold=(fTh:{holdFrontTh:0.0},rTh:{holdRearTh:0.0}) cmdSpeed={cmdSpeed:0.000}",
"FleetCrabDbg");
var settleEnd = DateTime.Now.AddMilliseconds(Math.Max(100, conf.MultiVehicleSyncInterval * 3));
while (!_stopping && DateTime.Now < settleEnd)
{
self.MultiVehicleScriptEnabled = false;
self.MultiVehicleScriptMode = 0;
self.MultiVehicleAutoEnabled = true;
self.MultiVehicleAutoVx = 0;
self.MultiVehicleAutoFrontTh = holdFrontTh;
self.MultiVehicleAutoRearTh = holdRearTh;
self.MultiVehicleAutoCmdTime = DateTime.Now;
yield return true;
}
Cleanup();
Hedingben.ToastText("车队蟹行完成", "FleetCrab");
DLog.Log($"DONE iter={iter} reason={stopReason}", "FleetCrabDbg");
_proc?.Stop();
_task?.Stop();
}
}
+28 -4
View File
@@ -45,9 +45,6 @@ public class PilotConfig : MultiWheelPilotConfig
[FieldMember(desc = "多车联动:启用互识别纠正")] public bool MultiVehicleUseDetect = false;
// E: 编队控制点半径(mm)。0 表示自动取 syncDistance/2(与 SetOriginBias 几何一致),>0 时按本值固定。
// 取代历史硬编码 510,避免改间距后控制点半径不跟随导致转向/补偿几何错位。
[FieldMember(desc = "多车联动:控制点半径(mm0=syncDistance/2)")] public float MultiVehicleControlRadius = 0f;
// B: 自动速度命令新鲜度(ms)。主车超过此时长未从路径控制器收到新速度命令(路径结束/早退/卡顿),
// 即视为失效并清零下发速度,避免车队按末速度滑行。0 表示自动取 max(200, interval*4)。
[FieldMember(desc = "多车联动:自动速度命令超时(ms0=auto)")] public int MultiVehicleAutoCmdTimeoutMs = 0;
@@ -202,6 +199,25 @@ public class PilotConfig : MultiWheelPilotConfig
[FieldMember(desc = "FleetCrab startup wheel alignment tolerance(deg)")]
public float FleetCrabStartWheelAlignDeg = 2f;
// ===== Fleet linked Bezier curve walk =====
[FieldMember(desc = "FleetCurve MovementTest Bezier control point count")]
public int FleetCurveTestControlPointCount = 4;
[FieldMember(desc = "FleetCurve speed(m/s)")]
public float FleetCurveSpeed = 0.2f;
[FieldMember(desc = "FleetCurve slow distance(mm)")]
public float FleetCurveSlowDistance = 2000f;
[FieldMember(desc = "FleetCurve finish distance(mm)")]
public float FleetCurveFinishDistance = 20f;
[FieldMember(desc = "FleetCurve finish speed(m/s)")]
public float FleetCurveFinishSpeed = 0.02f;
[FieldMember(desc = "FleetCurve slowing curve exponent")]
public float FleetCurveSlowingPow = 0.8f;
// ===== 2腿检测(单线雷达识别两腿托盘 / 轮胎)=====
[FieldMember(desc = "2腿检测:雷达名(逗号分隔可多个)")]
public string TwoLegLidarName = "rear_left_lidar_1,rear_right_lidar_1";
@@ -305,6 +321,14 @@ public class PilotConfig : MultiWheelPilotConfig
[FieldMember(desc = "轮胎跟踪:Y最大平均数")] public int TireFollowingYAverageFrameCount = 5;
[FieldMember(desc = "终点跟踪:速度")] public float DstTrackerMaxSpeed = 0.3f;
[FieldMember(desc = "轮胎跟踪:释放锁点距离")] public float TireFollowingReleaseDistance = 1600;
#endregion
[FieldMember(desc = "轮胎跟踪:角度调整kp")] public float TireFollowingThkp = 0.05f;
[FieldMember(desc = "轮胎跟踪:角度调整ki")] public float TireFollowingThki = 0.01f;
[FieldMember(desc = "轮胎跟踪:角度调整kd")] public float TireFollowingThkd = 0f;
[FieldMember(desc = "轮胎跟踪:角度调整SpeedAcc")] public float TireFollowingThSpeedAccPerSec = 1f;
[FieldMember(desc = "轮胎跟踪:角度调整Thresh")] public float TireFollowingThThresh = 0.1f;
[FieldMember(desc = "轮胎跟踪:角度调整DeadZone")] public float TireFollowingThDeadZone = 5f;
[FieldMember(desc = "轮胎跟踪:角度调整MaxI")] public float TireFollowingThMaxI = 0.01f;
}
+2 -4
View File
@@ -1123,10 +1123,8 @@ public class PilotDefinition : MultiWheelPilotDefinition<PilotConfig, PilotDefin
if (fleetReady && !fleetStopActive)
{
chassis.SetOriginBias(layoutX, layoutY, layoutTh);
// E: 统一控制点半径——配置 >0 用配置值,否则取 syncDistance/2与编队几何一致),不再硬编码 510
var controlRadius = Conf.MultiVehicleControlRadius > 0
? Conf.MultiVehicleControlRadius
: syncDistance / 2f;
// E: 统一控制点半径取 syncDistance/2与编队几何一致。
var controlRadius = syncDistance / 2f;
chassis.ControlPointRadius = controlRadius;
// #1 纠偏随旋转缩放:把每轮纠偏钳到旋转切向的比例,减速末段切向变小时纠偏同步缩小,杜绝轮向乱摆。
chassis.RotateCompTangentFrac = rotateParams.CompTangentFrac;
+15 -6
View File
@@ -297,7 +297,8 @@ namespace MultiWheelC
if (EnableHandover)
{
controller.SlowDistance = float.MinValue;
controller.FinishDistance = 20;
controller.FinishSpeed = 0.2f;
controller.FinishDistance = 50;
}
(WalkBlindCarPathDstX, WalkBlindCarPathDstY, WalkBlindCarPathDstTh) = GetCurrentPos2Dst(WalkBlindCarPathDstX, WalkBlindCarPathDstY, WalkBlindCarPathDstTh);
var walkBlindPathEnd = Tuple.Create(WalkBlindCarPathDstX, WalkBlindCarPathDstY, WalkBlindCarPathDstTh);
@@ -416,6 +417,14 @@ namespace MultiWheelC
while (_remainDistanceList.Count > 3) _remainDistanceList.RemoveAt(0);
rd = _remainDistanceList.Average();
_painter.DrawText(Color.Green, $"{rd:F3}", distanceLabelPos.X, distanceLabelPos.Y - 200);
if(rd < PilotDefinition.Conf.TireFollowingReleaseDistance)
{
if (detectors[detectorIndex].SrcId != -1 && detectors[detectorIndex].LeaveSrcFunction != null)
{
detectors[detectorIndex].LeaveSrcFunction(detectors[detectorIndex].SrcId);
DLog.Log($"释放预取车点{detectors[detectorIndex].SrcId}", "TireFollowing");
}
}
if (detectorIndex < detectors.Count - 1)
{
@@ -423,11 +432,11 @@ namespace MultiWheelC
if (detectors[detectorIndex].SwitchWalkBlindCondition(rd))
{
WalkBlindStage1 = true;
if (detectors[detectorIndex].SrcId != -1 && detectors[detectorIndex].LeaveSrcFunction != null)
{
detectors[detectorIndex].LeaveSrcFunction(detectors[detectorIndex].SrcId);
DLog.Log($"释放预取车点{detectors[detectorIndex].SrcId}", "TireFollowing");
}
//if (detectors[detectorIndex].SrcId != -1 && detectors[detectorIndex].LeaveSrcFunction != null)
//{
// detectors[detectorIndex].LeaveSrcFunction(detectors[detectorIndex].SrcId);
// DLog.Log($"释放预取车点{detectors[detectorIndex].SrcId}", "TireFollowing");
//}
WalkBlindCarPathDstX = trackDst.X;
WalkBlindCarPathDstY = trackDst.Y;
WalkBlindCarPathDstTh = angle2target + WalkBlindTh;
+2 -2
View File
@@ -127,7 +127,7 @@ lock (MultiVehicleFleet)
编队间距配置变更时,实际控制点半径仍固定 510mm,补偿/转向几何与 `TestCarSyncDistance` 不一致,调参困难。
**建议修复**
统一使用 `syncDistance / 2f` 或配置项 `MultiVehicleControlRadius`,删除 magic number 510。
统一使用 `syncDistance / 2f`,删除 magic number 510。
---
@@ -203,7 +203,7 @@ lock (MultiVehicleFleet)
- **B**`MultiVehicleSendMotion` 回调写入 `MultiVehicleAutoCmdTime`;主车自动分支按 `MultiVehicleAutoCmdTimeoutMs`(0=auto) 判定命令新鲜度,超时清零速度/idealPos 并关闭 `AutoEnabled`,避免末速度滑行。
- **C**:新增本地 `_multiVehicleFleetSeen` 存活时刻表,register/notify 收到即刷新;主车 Tick `PruneStaleFleetMembers()``MultiVehicleMemberTtlMs`(0=auto) 剔除掉线成员,`fleetReady`(数量==总数) 因此蕴含全员新鲜。
- **D**:回调不再丢弃 `idealPos/idealAngle`,写入 `MultiVehicleAutoIdeal*` 并经 notify(`HasIdeal/IdealX/Y/Th`) 广播;自动模式下以理想车队中心作为各车 layout 前馈目标(`MultiVehicleAutoUseIdealCenter`,默认开)。
- **E**新增 `MultiVehicleControlRadius`(0=syncDistance/2)`ControlPointRadius``SendMotion(localControlRadius)` 统一取该值,删除硬编码 510。
- **E**`ControlPointRadius``SendMotion(localControlRadius)` 统一取 `syncDistance / 2f`,删除硬编码 510。
- **F**notify 改为 POST + JSON body(取代 GET query 串);新增单调递增 `Seq`,从车丢弃乱序旧包(含主车重启回退识别)。
- **G**:新增 `FleetCenterSnapshot` 不可变快照 + `volatile` 引用,`PublishFleetCenter` 整体赋值,控制器线程 `GetFleetCenterSnapshot()` 只读完整快照,消除 torn read。
- **H**:自动模式新增 `MultiVehicleAutoRequireFleetCenter`(默认开) 门控——无有效车队中心(定位丢失)时强制停车,补上纯 SLAM 模式安全网;手动模式不受限。
@@ -0,0 +1,332 @@
# 停车机器人产品标准化规划书
## 文档信息
| 项目 | 内容 |
|------|------|
| 产品名称 | P2800 停车机器人 |
| 文档版本 | V1.0 |
| 编写日期 | 2026-07-14 |
| 文档类型 | 产品规划书 |
---
# 一、项目目标
## 1.1 总体目标
将停车机器人建设成为具备标准化交付能力的产品,实现车辆自主识别、自主搬运及双车协同控制,逐步形成可复制、可推广、可持续迭代的产品体系。
## 1.2 阶段目标
### **短期目标(7.15~9.15**
- 保证固定场景下稳定完成车辆搬运演示
- 提升现有算法稳定性
- 补齐路径规划能力
- 完善双车联动基础功能
### **中期目标(9.15~11.30**
- 引入3D相机
- 提升复杂场景适应能力
- 建立稳定性测试体系
### **长期目标(11.30~12.31**
- 车辆自主识别、自主搬运及双车稳定协同控制
---
# 二、系统现状
目前停车机器人整体流程如下:
```text
轮胎识别
轮胎定位
钻车控制
双车协同搬运
```
| 模块 | 当前状态 | 存在问题 |
|------|----------|----------|
| 雷达轮胎识别 | 已完成 | 识别误差最大±20mm,稳定性不足 |
| 路径规划 | 未完成 | 当前仅目标跟踪,无规划能力 |
| 钻车控制 | 已完成 | 对车辆停放姿态适应能力不足 |
| 双车联动 | 已完成部分功能 | 横移、原地旋转能力缺失 |
---
# 三、产品演进规划
## 第一阶段:展会保障(7.15~9.15)
### 3.1 雷达轮胎识别优化
保持当前3D雷达方案,不进行硬件更换。
优化方向:
- 提升识别稳定性
目标:
- 连续识别稳定
---
### 3.2 路径规划建设
新增停车机器人路径规划模块。
整体流程:
```text
轮胎识别
目标位姿生成
路径规划
轨迹跟踪
钻车控制
```
建设内容:
- 固定场景路径规划
- 钻车轨迹生成
- 轨迹跟踪控制
预计开发周期:约1个月。
---
### 3.3 双车联动完善
完成手动模式:
- 自由运动
- 横移
- 原地旋转
- 任意角度斜行
优化自动斜行稳定性。
阶段交付目标:
完成上海展会11场景下的稳定搬运。
---
## 第二阶段:产品完善(9月~年底)
### 轮胎识别升级
技术路线:
```text
3D雷达
3D相机(规则识别)
数据采集
模型训练
AI轮胎识别
```
说明:
优先验证3D相机点云质量;若点云质量满足要求,可先替代雷达方案,再逐步推进深度识别算法。
### 路径规划升级
完善:
- 自动规划
- 轨迹优化
- 自动纠偏
- 障碍物绕行(预研)
### 双车协同升级
实现自动模式:
- 自动横移
- 自动原地旋转
- 自动姿态调整
- 双车同步控制
---
## 第三阶段:产品智能化(长期)
建设统一算法平台。
包括:
- 3D相机AI识别
- 模型持续优化
- 多车型适配
形成持续迭代能力。
---
# 四、稳定性建设
稳定性测试贯穿整个研发周期。
## 感知稳定性
验证:
- 不同车型
- 不同轮胎尺寸
- 杂物遮挡
- 点云噪声
- 光照变化(相机阶段)
统计:
- 识别成功率
- 定位误差
- 重复性
## 钻车稳定性
验证:
- 左右偏移
- 前后偏移
- 初始角度偏差
- 不同停车姿态
验证规划算法鲁棒性。
## 双车协同稳定性
验证:
- 横向偏差
- 纵向偏差
- 姿态误差
验证自动纠偏能力和稳定双车联动能力。
## 长时间运行测试
开展:
- 连续搬运测试
- 连续运行测试
- 异常恢复测试
确保满足工程交付要求。
---
# 五、阶段里程碑
| 时间节点 | 目标 |
|-----------|------|
| 9月 | 完成上海展会1:1场景下的稳定演示 |
| 年底 | 完成路径规划、双车联动及稳定性建设 |
| 长期 | 完成3D相机替代、AI识别及产品智能化 |
然后你再帮我写一个停车机器人目标达成指标的一个MD文档,里面需要包含达成了短/中/长期目标的一些能力:
**短期目标需要达到:**
车端能力:
1.实现钻车/出车过程中的路径规划能力;
2.实现在AGV相对车体有略微偏移(角度≤3°、横向偏移≤50mm)的情况下能够成功规划路径并保证钻入过程无碰撞;
3.实现钻入过程平滑无卡顿;
4.实现在2D雷达/3D雷达/3D相机(非Learning)识别的前提下:识别—规划—控制钻车到位停止精度要达到±15mm/1°以内,重复性测试须达到至少N次;
5.实现钻车过程从开始识别至AGV到位,钻两对轮需满足30s内完成,钻一对轮需满足18s内完成;
6.实现双车联动(带载/空载)手动遥控器控制模式下(0.1m/s~0.3m/s)的自由运动、任意角度斜行、横移以及原地旋转;
7.实现双车联动(带载/空载)自动控制模式下(0.1m/s~0.3m/s)的任意角度稳定斜行;
8.实现双车联动(带载/空载)自动控制模式下斜行到位精度达到±10mm/1°以内;
9.实现双车联动(带载/空载)手/自动控制模式下在两车之间有略微偏移(角度≤2°,横向偏移≤30mm)的情况下依旧能够稳定完成移动操作;
10.稳定完成上海展会同场景下的循环搬运任务,保证任务成功率为100%;
注意:双车联动功能无论是基于网络信号较好的Simple服务器转发或双车直连通信模块,都需要实现前面提到的能力。
调度能力:
1.实现在收到搬车任务后,在没有开启车端避障的前提下,两台AGV的运动过程不发生碰撞;
2.实现在收到搬车任务后,两台AGV的运动需要相对同步,不允许出现锁点问题导致两台AGV距离过远;
3.实现在收到搬车任务后,两台AGV能够分别从车头和车尾同时钻入;
**中期目标需达到:**
在短期目标能力的基础上额外实现:
车端能力:
1.实现钻车过程从开始识别至AGV到位,钻两对轮需满足20s内完成,钻一对轮需满足12s内完成;
2.实现在AGV相对车体有较大偏移(角度≤6°、横向偏移≤100mm)的情况下能够成功规划并保证钻入过程无碰撞;
3.实现在3D相机(Learning)识别的前提下:识别—规划—控制钻车到位停止精度要达到±5mm/0.5°以内,重复性测试须达到至少N次;
4.实现从车体侧面的钻车能力;
5.实现双车联动(带载/空载)自动控制模式下(0.3m/s~1.0m/s)的自由运动、任意角度斜行、横移以及原地旋转;
6.实现双车联动(带载/空载)自动控制模式下双车通讯、定位异常及其他异常时两车同时立即停车的安全机制;
7.实现双车联动(带载/空载)手/自动控制模式下在两车之间有略微偏移(角度≤5°,横向偏移≤50mm)的情况下依旧能够稳定完成移动操作;
调度能力:
1.实现在收到搬车任务后,若场景内有超过两台以上的AGV,根据AGV状态自动选择最合适执行当前搬运任务的两台AGV;
1.实现在收到搬车任务后,根据两台AGV的状态自动判断二者钻入顺序,同时保证第一台AGV以车头传感器识别的形式钻入,第二台AGV以车尾传感器识别的形式钻入;
**长期目标须达到:**
@@ -0,0 +1,127 @@
# 停车机器人产品能力达成指标(V1.0)
> 本文档定义停车机器人产品在短期、中期及长期三个阶段应达到的核心能力指标,作为产品研发、测试验收及版本演进依据。
---
# 一、短期目标(展会交付版本)
## 1. 车端能力
### 1.1 钻车能力
- 基于2D雷达/3D雷达/3D相机(非Learning)完成轮胎稳定识别;
- 建立钻车、出车完整路径规划能力;
- 完成"识别→目标生成→路径规划→轨迹跟踪→停车"闭环;
- 重复定位测试≥100次,满足到位精度≤±15 mm,姿态误差≤±1°,成功率≥99%;
- 实现从开始识别至AGV到位,钻两对轮需满足30s内完成,钻一对轮需满足18s内完成;
- 当AGV相对车辆存在角度≤3°、横向偏移≤50 mm时,可自动规划无碰撞轨迹;
- 支持轨迹平滑、速度连续,无明显急停、倒车抖动及振荡;
- 钻车过程中绝不允许发生机械干涉;
- 稳定完成上海展会同场景下的循环搬运任务,保证任务成功率为100%;
### 1.2 双车联动能力
支持带载/空载:
- 手动(0.1m/s~0.3m/s):自由运动、横移、任意角度斜行、原地旋转;
- 自动(0.1m/s~0.3m/s):稳定任意角度斜行;
- 自动斜行停止精度≤±10 mm / ±1°;
- 两车存在角度≤2°、横向误差≤30 mm安装误差时仍可稳定协同;
- 支持Simple服务器转发及点对点通信两种模式;
### 1.3 工程能力
- 全过程日志记录;
- 异常时能够人工接管;
- 故障定位能力。
---
## 2. 调度能力
- 在没有开启车端避障的前提下,车体间运动不干涉;
- 车体间的运动需要相对同步,不允许出现锁点问题导致的两台AGV距离过远;
- 两台AGV能够分别从车头和车尾同时钻入;
---
# 二、中期目标(产品化版本)
在短期目标基础上新增:
## 1. 车端能力
### 1.1 钻车能力
- 引入3D相机Learning算法;
- 到位精度≤±5 mm、±0.5°;
- 支持不同车型自动识别;
- 支持车辆侧向钻车。
- 偏移≤6°、≤100 mm条件下完成自主规划;
- 支持复杂停车姿态自动修正。
- 实现从开始识别至AGV到位,钻两对轮需满足20s内完成,钻一对轮需满足12s内完成;
### 1.2 双车联动能力
- 自动模式支持自由运动、横移、斜行、原地旋转(0.3~1.0 m/s);
- 通信、定位异常或其他异常时同步急停;
- 两车≤5°、≤50 mm误差下稳定协同。
## 2. 调度能力
- 多AGV自动选车;
- 自动确定钻车顺序;
- 多任务调度;
- AGV健康状态参与调度决策。
---
# 三、长期目标(标准化产品)
## 1. 智能车端
- AI轮胎识别持续学习;
- 自动识别车型、轮胎规格、车辆姿态;
- 多传感器融合感知(雷达+3D相机)。
- 任意方向自主钻车;
- 动态环境自主避障;
- 双车高速协同(≥1.0 m/s);
- 全自动搬运无需人工干预;
- 故障降级、自恢复、重新编队。
## 2. 智能调度
- 停车场级多机器人调度;
- 全局交通管理;
- 自动充电、自动换班;
- 云端监控与远程运维;
- 跨停车场统一调度。
## 3. 产品平台能力
- 算法平台化;
- 数据闭环(采集→标注→训练→部署);
- 自动化回归测试;
- 多车型快速适配。
---
# 四、产品成熟度目标
| 阶段 | 产品定位 | 核心目标 |
|------|----------|----------|
| 短期 | Demo交付 | 展会稳定演示,形成基础闭环 |
| 中期 | 工程产品 | 满足工程交付及批量部署 |
| 长期 | 标准产品 | 智能化、多车型、多机器人停车搬运平台 |
# 五、说明
本文档为停车机器人能力建设阶段的目标达成指标说明,用于明确阶段性能力建设方向与评估基准,并非最终产品定版标准。
文档中所列精度、耗时、偏移容差、重复性次数等定量指标,以及部分定性能力描述,将依据实际研发验证、现场测试数据、产品定位变更及项目交付要求进行动态调整。如指标发生变更,以后续正式发布的修订版本或相关专项技术方案为准。
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