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https://github.com/Team4388/2022NoWayHome.git
synced 2026-06-09 08:48:07 -06:00
Fixed TrackTarget driving + cleaned code
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@@ -15,6 +15,7 @@ import edu.wpi.first.math.geometry.Pose2d;
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import edu.wpi.first.wpilibj.motorcontrol.MotorController;
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import edu.wpi.first.wpilibj.smartdashboard.SmartDashboard;
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import edu.wpi.first.wpilibj2.command.CommandBase;
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import frc4388.robot.RobotContainer;
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import frc4388.robot.Constants.ShooterConstants;
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import frc4388.robot.Constants.VisionConstants;
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import frc4388.robot.subsystems.BoomBoom;
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@@ -34,29 +35,18 @@ public class TrackTarget extends CommandBase {
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BoomBoom m_boomBoom;
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Hood m_hood;
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// use odometry to find x and y later
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double x;
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double y;
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double distance;
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double vel;
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double hood;
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double average;
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double output;
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Pose2d pos = new Pose2d();
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static double velocity;
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static double hoodPosition;
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ArrayList<Point> points = new ArrayList<>();
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private boolean targetLocked = false;
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private double velocityTolerance = 100.0;
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private double hoodTolerance = 5.0;
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double m=0;
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double b=0;
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boolean isExecuted = false;
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// public static Gains m_aimGains;
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public TrackTarget (SwerveDrive swerve, Turret turret, BoomBoom boomBoom, Hood hood, VisionOdometry visionOdometry) {
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// Use addRequirements() here to declare subsystem dependencies.
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m_swerve = swerve;
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m_turret = turret;
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m_boomBoom = boomBoom;
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@@ -69,81 +59,57 @@ public class TrackTarget extends CommandBase {
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// Called when the command is initially scheduled.
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@Override
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public void initialize() {
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x = 0;
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y = 0;
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velocity = 0;
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hoodPosition = 0;
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}
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// Called every time the scheduler runs while the command is scheduled.
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@Override
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public void execute() {
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//m_targetAngle = angleToCenter(x, y, m_drive.getRegGyro().getDegrees());
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SmartDashboard.putBoolean("Target Locked", this.targetLocked);
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public void execute() {
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try {
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m_visionOdometry.setLEDs(true);
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points = m_visionOdometry.getTargetPoints();
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points = filterPoints(points);
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Point average = VisionOdometry.averagePoint(points);
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DesmosServer.putPoint("average", average);
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for(int i = 0; i < points.size(); i++) {
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DesmosServer.putPoint("Point" + i, points.get(i));
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}
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output = (average.x - VisionConstants.LIME_HIXELS/2.d) / VisionConstants.LIME_HIXELS;
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double output = (average.x - VisionConstants.LIME_HIXELS/2.d) / VisionConstants.LIME_HIXELS;
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output *= 2;
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// //output *= 0.5;
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// //DesmosServer.putDouble("output", output);
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m_turret.runTurretWithInput(output);
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double position = m_turret.m_boomBoomRotateEncoder.getPosition();
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if(Math.abs(position - ShooterConstants.TURRET_FORWARD_SOFT_LIMIT) < 5 ||
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Math.abs(position - ShooterConstants.TURRET_REVERSE_SOFT_LIMIT) < 5)
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m_swerve.driveWithInput(0, 0, output, false);
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m_swerve.driveWithInput(RobotContainer.getDriverController().getLeftX(), RobotContainer.getDriverController().getLeftY(), output, true);
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else
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m_swerve.driveWithInput(RobotContainer.getDriverController().getLeftX(), RobotContainer.getDriverController().getLeftY(),
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RobotContainer.getDriverController().getRightX(), RobotContainer.getDriverController().getRightY(),
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true);
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double y_rot = average.y / VisionConstants.LIME_VIXELS;
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y_rot *= Math.toRadians(VisionConstants.V_FOV);
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y_rot -= Math.toRadians(VisionConstants.V_FOV) / 2;
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y_rot += Math.toRadians(VisionConstants.LIME_ANGLE);
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double regressedDistance = getDistance(average.y);
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double distance = (VisionConstants.TARGET_HEIGHT - VisionConstants.LIME_HEIGHT) / Math.tan(y_rot);
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DesmosServer.putDouble("distance", distance);
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// ! add 30 to the distance to get in target. May need to be adjusted
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velocity = m_boomBoom.getVelocity(regressedDistance + 30);
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hoodPosition = m_boomBoom.getHood(regressedDistance + 30);
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updateRegressionDesmos();
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double regressedDistance = distanceRegression(distance);
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regressedDistance += VisionConstants.EDGE_TO_CENTER + VisionConstants.LIMELIGHT_RADIUS;
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DesmosServer.putDouble("distanceReg", regressedDistance);
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//Vision odometry circle fit based pose estimate
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// Point targetOffset = m_visionOdometry.getTargetOffset();
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// DesmosServer.putPoint("targetOff", targetOffset);
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vel = m_boomBoom.getVelocity(regressedDistance + 30);
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hood = m_boomBoom.getHood(regressedDistance + 30);
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// m_boomBoom.runDrumShooter(vel);
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m_boomBoom.runDrumShooterVelocityPID(vel);
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m_hood.runAngleAdjustPID(hood);
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m_boomBoom.runDrumShooterVelocityPID(velocity);
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m_hood.runAngleAdjustPID(hoodPosition);
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double currentDrumVel = this.m_boomBoom.m_shooterFalconLeft.getSelectedSensorVelocity();
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double currentHood = this.m_hood.getEncoderPosition();
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this.targetLocked = (Math.abs(currentDrumVel - vel) < velocityTolerance) && (Math.abs(currentHood - hood) < hoodTolerance);
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targetLocked = (Math.abs(currentDrumVel - velocity) < velocityTolerance) && (Math.abs(currentHood - hoodPosition) < hoodTolerance);
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SmartDashboard.putNumber("Regressed Distance", regressedDistance);
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SmartDashboard.putNumber("Distance", distance);
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SmartDashboard.putNumber("Hood Target Angle Track", hood);
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SmartDashboard.putNumber("Vel Target Track", vel);
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// isExecuted = true;
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}
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catch (Exception e){
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// SmartDashboard.putNumber("Distance", distance);
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SmartDashboard.putNumber("Hood Target Angle Track", hoodPosition);
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SmartDashboard.putNumber("Vel Target Track", velocity);
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SmartDashboard.putBoolean("Target Locked", targetLocked);
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} catch (Exception e){
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e.printStackTrace();
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// System.err.println("Exception: " + e.toString() + ", Line 78 at TrackTarget.java");
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}
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// m_turret.runshooterRotatePID(m_targetAngle);
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}
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public ArrayList<Point> filterPoints(ArrayList<Point> points) {
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@@ -166,15 +132,22 @@ public class TrackTarget extends CommandBase {
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return (ArrayList<Point>) pointDistances.keySet().stream().filter(p -> pointDistances.get(p) < 2 * averageDist).collect(Collectors.toList());
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}
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public final double distanceRegression(double distance) {
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return (79.6078 * Math.pow(1.01343, distance) - 56.6671);
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public final double getDistance(double averageY) {
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double y_rot = averageY / VisionConstants.LIME_VIXELS;
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y_rot *= Math.toRadians(VisionConstants.V_FOV);
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y_rot -= Math.toRadians(VisionConstants.V_FOV) / 2;
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y_rot += Math.toRadians(VisionConstants.LIME_ANGLE);
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double distance = (VisionConstants.TARGET_HEIGHT - VisionConstants.LIME_HEIGHT) / Math.tan(y_rot);
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double regressedDistance = distanceRegression(distance);
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regressedDistance += VisionConstants.EDGE_TO_CENTER + VisionConstants.LIMELIGHT_RADIUS;
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return regressedDistance;
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}
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public void updateRegressionDesmos() {
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m = DesmosServer.readDouble("m");
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b = DesmosServer.readDouble("b");
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DesmosServer.putArray("MB", m, b);
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public final double distanceRegression(double distance) {
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return (79.6078 * Math.pow(1.01343, distance) - 56.6671);
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}
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// Called once the command ends or is interrupted.
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