# # Copyright (c) FIRST and other WPILib contributors. # Open Source Software; you can modify and/or share it under the terms of # the WPILib BSD license file in the root directory of this project. # import math import wpilib import wpimath import wpimath.units import swervemodule from exampleglobalmeasurementsensor import ExampleGlobalMeasurementSensor class Drivetrain: """Represents a swerve drive style drivetrain.""" kMaxSpeed = 3.0 # 3 meters per second kMaxAngularSpeed = math.pi # 1/2 rotation per second def __init__(self) -> None: self.frontLeftLocation = wpimath.Translation2d(0.381, 0.381) self.frontRightLocation = wpimath.Translation2d(0.381, -0.381) self.backLeftLocation = wpimath.Translation2d(-0.381, 0.381) self.backRightLocation = wpimath.Translation2d(-0.381, -0.381) self.frontLeft = swervemodule.SwerveModule(1, 2, 0, 1, 2, 3) self.frontRight = swervemodule.SwerveModule(3, 4, 4, 5, 6, 7) self.backLeft = swervemodule.SwerveModule(5, 6, 8, 9, 10, 11) self.backRight = swervemodule.SwerveModule(7, 8, 12, 13, 14, 15) self.imu = wpilib.OnboardIMU(wpilib.OnboardIMU.MountOrientation.kFlat) self.kinematics = wpimath.SwerveDrive4Kinematics( self.frontLeftLocation, self.frontRightLocation, self.backLeftLocation, self.backRightLocation, ) # Here we use SwerveDrivePoseEstimator so that we can fuse odometry readings. The numbers # used below are robot specific, and should be tuned. self.poseEstimator = wpimath.SwerveDrive4PoseEstimator( self.kinematics, self.imu.getRotation2d(), ( self.frontLeft.getPosition(), self.frontRight.getPosition(), self.backLeft.getPosition(), self.backRight.getPosition(), ), wpimath.Pose2d(), (0.05, 0.05, wpimath.units.degreesToRadians(5)), (0.5, 0.5, wpimath.units.degreesToRadians(30)), ) self.imu.resetYaw() def drive( self, xSpeed: float, ySpeed: float, rot: float, fieldRelative: bool, period: float, ) -> None: """Method to drive the robot using joystick info. :param xSpeed: Speed of the robot in the x direction (forward). :param ySpeed: Speed of the robot in the y direction (sideways). :param rot: Angular rate of the robot. :param fieldRelative: Whether the provided x and y speeds are relative to the field. """ chassisSpeeds = wpimath.ChassisSpeeds(xSpeed, ySpeed, rot) if fieldRelative: chassisSpeeds = chassisSpeeds.toRobotRelative( self.poseEstimator.getEstimatedPosition().rotation() ) chassisSpeeds = chassisSpeeds.discretize(period) states = self.kinematics.toSwerveModuleStates(chassisSpeeds) wpimath.SwerveDrive4Kinematics.desaturateWheelSpeeds(states, self.kMaxSpeed) self.frontLeft.setDesiredState(states[0]) self.frontRight.setDesiredState(states[1]) self.backLeft.setDesiredState(states[2]) self.backRight.setDesiredState(states[3]) def updateOdometry(self) -> None: """Updates the field relative position of the robot.""" self.poseEstimator.update( self.imu.getRotation2d(), ( self.frontLeft.getPosition(), self.frontRight.getPosition(), self.backLeft.getPosition(), self.backRight.getPosition(), ), ) # Also apply vision measurements. We use 0.3 seconds in the past as an example -- on # a real robot, this must be calculated based either on latency or timestamps. self.poseEstimator.addVisionMeasurement( ExampleGlobalMeasurementSensor.getEstimatedGlobalPose( self.poseEstimator.getEstimatedPosition() ), wpilib.Timer.getTimestamp() - 0.3, )