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[robotpy][examples] Split examples and snippets (#8944)
This also updates the bazel scripts to behave more like the C++ and Java examples, and updates the copybara scripts to be able to sync up `mostrobotpy`
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113
robotpyExamples/examples/SwerveDrivePoseEstimator/drivetrain.py
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113
robotpyExamples/examples/SwerveDrivePoseEstimator/drivetrain.py
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#
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# Copyright (c) FIRST and other WPILib contributors.
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# Open Source Software; you can modify and/or share it under the terms of
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# the WPILib BSD license file in the root directory of this project.
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#
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import math
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import wpilib
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import wpimath
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import wpimath.units
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import swervemodule
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from exampleglobalmeasurementsensor import ExampleGlobalMeasurementSensor
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class Drivetrain:
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"""Represents a swerve drive style drivetrain."""
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kMaxVelocity = 3.0 # 3 meters per second
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kMaxAngularVelocity = math.pi # 1/2 rotation per second
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def __init__(self) -> None:
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self.frontLeftLocation = wpimath.Translation2d(0.381, 0.381)
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self.frontRightLocation = wpimath.Translation2d(0.381, -0.381)
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self.backLeftLocation = wpimath.Translation2d(-0.381, 0.381)
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self.backRightLocation = wpimath.Translation2d(-0.381, -0.381)
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self.frontLeft = swervemodule.SwerveModule(1, 2, 0, 1, 2, 3)
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self.frontRight = swervemodule.SwerveModule(3, 4, 4, 5, 6, 7)
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self.backLeft = swervemodule.SwerveModule(5, 6, 8, 9, 10, 11)
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self.backRight = swervemodule.SwerveModule(7, 8, 12, 13, 14, 15)
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self.imu = wpilib.OnboardIMU(wpilib.OnboardIMU.MountOrientation.FLAT)
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self.kinematics = wpimath.SwerveDrive4Kinematics(
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self.frontLeftLocation,
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self.frontRightLocation,
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self.backLeftLocation,
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self.backRightLocation,
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)
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# Here we use SwerveDrivePoseEstimator so that we can fuse odometry readings. The numbers
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# used below are robot specific, and should be tuned.
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self.poseEstimator = wpimath.SwerveDrive4PoseEstimator(
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self.kinematics,
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self.imu.getRotation2d(),
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(
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self.frontLeft.getPosition(),
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self.frontRight.getPosition(),
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self.backLeft.getPosition(),
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self.backRight.getPosition(),
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),
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wpimath.Pose2d(),
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(0.05, 0.05, wpimath.units.degreesToRadians(5)),
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(0.5, 0.5, wpimath.units.degreesToRadians(30)),
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)
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self.imu.resetYaw()
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def drive(
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self,
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xVelocity: float,
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yVelocity: float,
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rot: float,
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fieldRelative: bool,
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period: float,
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) -> None:
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"""Method to drive the robot using joystick info.
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:param xVelocity: Velocity of the robot in the x direction (forward).
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:param yVelocity: Velocity of the robot in the y direction (sideways).
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:param rot: Angular rate of the robot.
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:param fieldRelative: Whether the provided x and y velocities are relative to the field.
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"""
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chassisVelocities = wpimath.ChassisVelocities(xVelocity, yVelocity, rot)
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if fieldRelative:
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chassisVelocities = chassisVelocities.toRobotRelative(
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self.poseEstimator.getEstimatedPosition().rotation()
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)
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chassisVelocities = chassisVelocities.discretize(period)
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velocities = wpimath.SwerveDrive4Kinematics.desaturateWheelVelocities(
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self.kinematics.toSwerveModuleVelocities(chassisVelocities),
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self.kMaxVelocity,
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)
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self.frontLeft.setDesiredVelocity(velocities[0])
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self.frontRight.setDesiredVelocity(velocities[1])
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self.backLeft.setDesiredVelocity(velocities[2])
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self.backRight.setDesiredVelocity(velocities[3])
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def updateOdometry(self) -> None:
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"""Updates the field relative position of the robot."""
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self.poseEstimator.update(
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self.imu.getRotation2d(),
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(
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self.frontLeft.getPosition(),
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self.frontRight.getPosition(),
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self.backLeft.getPosition(),
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self.backRight.getPosition(),
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),
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)
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# Also apply vision measurements. We use 0.3 seconds in the past as an example -- on
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# a real robot, this must be calculated based either on latency or timestamps.
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self.poseEstimator.addVisionMeasurement(
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ExampleGlobalMeasurementSensor.getEstimatedGlobalPose(
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self.poseEstimator.getEstimatedPosition()
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),
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wpilib.Timer.getTimestamp() - 0.3,
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)
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#
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# Copyright (c) FIRST and other WPILib contributors.
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# Open Source Software; you can modify and/or share it under the terms of
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# the WPILib BSD license file in the root directory of this project.
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#
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import random
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import wpimath
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class ExampleGlobalMeasurementSensor:
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"""This dummy class represents a global measurement sensor, such as a computer vision
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solution.
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"""
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def __init__(self) -> None:
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raise RuntimeError("Utility class")
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@staticmethod
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def getEstimatedGlobalPose(estimatedRobotPose: wpimath.Pose2d) -> wpimath.Pose2d:
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"""Get a "noisy" fake global pose reading.
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:param estimatedRobotPose: The robot pose.
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"""
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rand_x = random.gauss(0.0, 0.5)
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rand_y = random.gauss(0.0, 0.5)
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rand_rot = random.gauss(0.0, wpimath.units.degreesToRadians(30))
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return wpimath.Pose2d(
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estimatedRobotPose.x + rand_x,
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estimatedRobotPose.y + rand_y,
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estimatedRobotPose.rotation().rotateBy(wpimath.Rotation2d(rand_rot)),
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)
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52
robotpyExamples/examples/SwerveDrivePoseEstimator/robot.py
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52
robotpyExamples/examples/SwerveDrivePoseEstimator/robot.py
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#!/usr/bin/env python3
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#
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# Copyright (c) FIRST and other WPILib contributors.
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# Open Source Software; you can modify and/or share it under the terms of
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# the WPILib BSD license file in the root directory of this project.
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#
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import wpilib
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import wpimath
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from drivetrain import Drivetrain
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class MyRobot(wpilib.TimedRobot):
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def __init__(self) -> None:
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super().__init__()
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self.controller = wpilib.NiDsXboxController(0)
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self.swerve = Drivetrain()
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# Slew rate limiters to make joystick inputs more gentle; 1/3 sec from 0 to 1.
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self.xvelocityLimiter = wpimath.SlewRateLimiter(3)
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self.yvelocityLimiter = wpimath.SlewRateLimiter(3)
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self.rotLimiter = wpimath.SlewRateLimiter(3)
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def autonomousPeriodic(self) -> None:
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self.driveWithJoystick(False)
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self.swerve.updateOdometry()
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def teleopPeriodic(self) -> None:
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self.driveWithJoystick(True)
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def driveWithJoystick(self, fieldRelative: bool) -> None:
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# Get the x velocity. We are inverting this because Xbox controllers return
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# negative values when we push forward.
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xVelocity = -self.xvelocityLimiter.calculate(self.controller.getLeftY())
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xVelocity *= Drivetrain.kMaxVelocity
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# Get the y velocity or sideways/strafe velocity. We are inverting this because
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# we want a positive value when we pull to the left. Xbox controllers
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# return positive values when you pull to the right by default.
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yVelocity = -self.yvelocityLimiter.calculate(self.controller.getLeftX())
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yVelocity *= Drivetrain.kMaxVelocity
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# Get the rate of angular rotation. We are inverting this because we want a
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# positive value when we pull to the left (remember, CCW is positive in
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# mathematics). Xbox controllers return positive values when you pull to
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# the right by default.
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rot = -self.rotLimiter.calculate(self.controller.getRightX())
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rot *= Drivetrain.kMaxAngularVelocity
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self.swerve.drive(xVelocity, yVelocity, rot, fieldRelative, self.getPeriod())
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#
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# Copyright (c) FIRST and other WPILib contributors.
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# Open Source Software; you can modify and/or share it under the terms of
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# the WPILib BSD license file in the root directory of this project.
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#
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import math
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import wpilib
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import wpimath
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kWheelRadius = 0.0508
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kEncoderResolution = 4096
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kModuleMaxAngularVelocity = math.pi
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kModuleMaxAngularAcceleration = math.tau # radians per second squared
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class SwerveModule:
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def __init__(
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self,
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driveMotorChannel: int,
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turningMotorChannel: int,
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driveEncoderChannelA: int,
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driveEncoderChannelB: int,
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turningEncoderChannelA: int,
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turningEncoderChannelB: int,
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) -> None:
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"""Constructs a SwerveModule with a drive motor, turning motor, drive encoder and
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turning encoder.
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:param driveMotorChannel: PWM output for the drive motor.
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:param turningMotorChannel: PWM output for the turning motor.
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:param driveEncoderChannelA: DIO input for the drive encoder channel A
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:param driveEncoderChannelB: DIO input for the drive encoder channel B
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:param turningEncoderChannelA: DIO input for the turning encoder channel A
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:param turningEncoderChannelB: DIO input for the turning encoder channel B
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"""
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self.driveMotor = wpilib.PWMSparkMax(driveMotorChannel)
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self.turningMotor = wpilib.PWMSparkMax(turningMotorChannel)
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self.driveEncoder = wpilib.Encoder(driveEncoderChannelA, driveEncoderChannelB)
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self.turningEncoder = wpilib.Encoder(
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turningEncoderChannelA, turningEncoderChannelB
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)
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# Gains are for example purposes only - must be determined for your own robot!
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self.drivePIDController = wpimath.PIDController(1, 0, 0)
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# Gains are for example purposes only - must be determined for your own robot!
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self.turningPIDController = wpimath.ProfiledPIDController(
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1,
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0,
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0,
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wpimath.TrapezoidProfile.Constraints(
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kModuleMaxAngularVelocity, kModuleMaxAngularAcceleration
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),
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)
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# Gains are for example purposes only - must be determined for your own robot!
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self.driveFeedforward = wpimath.SimpleMotorFeedforwardMeters(1, 3)
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self.turnFeedforward = wpimath.SimpleMotorFeedforwardMeters(1, 0.5)
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# Set the distance per pulse for the drive encoder. We can simply use the
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# distance traveled for one rotation of the wheel divided by the encoder
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# resolution.
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self.driveEncoder.setDistancePerPulse(
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math.tau * kWheelRadius / kEncoderResolution
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)
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# Set the distance (in this case, angle) in radians per pulse for the turning encoder.
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# This is the the angle through an entire rotation (2 * pi) divided by the
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# encoder resolution.
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self.turningEncoder.setDistancePerPulse(math.tau / kEncoderResolution)
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# Limit the PID Controller's input range between -pi and pi and set the input
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# to be continuous.
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self.turningPIDController.enableContinuousInput(-math.pi, math.pi)
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def getState(self) -> wpimath.SwerveModuleVelocity:
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"""Returns the current state of the module.
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:returns: The current state of the module.
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"""
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return wpimath.SwerveModuleVelocity(
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self.driveEncoder.getRate(),
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wpimath.Rotation2d(self.turningEncoder.getDistance()),
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)
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def getPosition(self) -> wpimath.SwerveModulePosition:
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"""Returns the current position of the module.
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:returns: The current position of the module.
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"""
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return wpimath.SwerveModulePosition(
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self.driveEncoder.getDistance(),
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wpimath.Rotation2d(self.turningEncoder.getDistance()),
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)
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def setDesiredVelocity(self, desiredVelocity: wpimath.SwerveModuleVelocity) -> None:
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"""Sets the desired state for the module.
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:param desiredVelocity: Desired state with velocity and angle.
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"""
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encoderRotation = wpimath.Rotation2d(self.turningEncoder.getDistance())
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# Optimize the desired velocity to avoid spinning further than 90 degrees, then scale
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# velocity by cosine of angle error. This scales down movement perpendicular to the desired
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# direction of travel that can occur when modules change directions. This results in
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# smoother driving.
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velocity = desiredVelocity.optimize(encoderRotation).cosineScale(
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encoderRotation
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)
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# Calculate the drive output from the drive PID controller and feedforward.
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driveOutput = self.drivePIDController.calculate(
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self.driveEncoder.getRate(), velocity.velocity
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) + self.driveFeedforward.calculate(velocity.velocity)
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# Calculate the turning motor output from the turning PID controller and feedforward.
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turnOutput = self.turningPIDController.calculate(
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self.turningEncoder.getDistance(), velocity.angle.radians()
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) + self.turnFeedforward.calculate(
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self.turningPIDController.getSetpoint().velocity
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)
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self.driveMotor.setVoltage(driveOutput)
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self.turningMotor.setVoltage(turnOutput)
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