3061-lib

Huskie Robotics, FRC Team 3061's, starter project and library focused on a swerve-based drivetrain. Supports SDS MK4/MK4i swerve modules using 2 Falcon 500 motors and a CTRE CANCoder, a CTRE Pigeon Gyro, and REV Robotics power distribution hub and pneumatics hub. However, due to the hardware abstraction layer, this code can be adapted to other motor controllers, encoders, and gyros as well as different swerve module designs.

External Dependencies

• git must be installed as the GVersion plugin depends upon it
• CTRE's Phoenix 6 (both free and licensed options are supported)
• AdvantageKit
• PathPlanner
• PhotonLib

Features

• multiple robots with different configurations, including a simulated robot with basic simulation of swerve modules
• logging and replay via AdvantageKit
• vision subsystem supporting multiple Photonvision-based cameras to update pose estimation
• move-to-pose command that generates on-the-fly paths using a field model defined by a set of regions and transition points between regions
• CAN FD (CANivore) to reduce CAN bus utilization
• commands
  • drive-to-pose (closed-loop straight-line motion to pose)
  • rotate-to-angle (closed-loop rotational setpoint with optional driver-controlled translational motion)
• swerve-specific features
  • robot-relative and field-relative driving modes
  • slow mode for fine-tuned motion
  • acceleration limiting when not in "turbo" mode
  • current limiting configuration for motors
  • x-stance
  • leave wheels rotated in last direction when not driving to enable smooth continuation of motion
  • switch drive motors to coast mode when robot is disabled and has stopped moving for a period of time to facilitate manual pushing

Configuration

Each robot's configuration is captured in that robot's subclass of the RobotConfig abstract class. This enables the same code base to support multiple robots with different characteristics. Each enumerated value in the RobotType enumeration in Constants.java has a corresponding subclass of RobotConfig (other than ROBOT_SIMBOT). For example the RobotType.ROBOT_DEFAULT corresponds to the DefaultRobotConfig subclass.

To configure the initial robot, address each of the FIXME comments in the DefaultRobotConfig class.

To add an additional robot, create a new subclass of RobotConfig (you can duplicate and rename DefaultRobotConfig); add the new robot to the RobotType enumeration, update the getRobot and getMode methods, and update the ROBOT constant in Constants.java; and update the RobotContainer constructor to create an instance of the new RobotConfig subclass based on the value returned from Constants.getRobot().

Tuning

• Checking motor and encoder directions:
  • The drive motor, angle motor, and angle encoder constants in SwerveModuleConstants should be configured appropriately for the MK4 and MK4i swerve modules. However, it doesn't hurt to verify.
  • If you want to verify the following, the Subsystem example subsystem can be used with TESTING set to true to directly control the associated motor. Set MOTOR_CAN_ID in SubsystemConstants to the appropriate CAN ID and ensure that CAN ID is not specified for any swerve motor in DefaultRobotConfig. Use Shuffleboard to set the motor power.
  • When the drive motor is supplied a positive input, it should turn the swerve module wheel such that the robot moves forward; if not, negate.
  • When the angle motor is supplied a positive input, it should rotate the swerve module wheel such that the wheel rotates in the CCW direction; if not, negate.
  • When the angle motor rotates the swerve module wheel in a CCW direction, the CANcoder should increase its reading; if not, set to negate.
• Setting Steer Offsets (e.g., FRONT_LEFT_MODULE_STEER_OFFSET_ROT) in your RobotConfig subclass (e.g., DefaultRobotConfig.java):
  • For finding the offsets, use a piece of 1x1 metal that is straight against the forks of the front and back modules (on the left and right side) to ensure that the modules are straight
  • Point the bevel gears of all the wheels in the same direction (either facing left or right), and preferably you should have the wheels facing in the direction where a positive input to the drive motor drives forward; if for some reason you set the offsets with the wheels backwards, you can change the appropriate DRIVE_MOTOR_INVERTED in SwerveModuleConstants to fix
  • Open Phoenix Tuner 6 and, for each CANcoder on a swerve module, copy the negated rotation value of the "Absolute Position No Offset" signal to the STEER_OFFSET constants. For example, if the CANcoder "Absolute Position No Offset" signal is 0.104004, specify a value of -0.104004 for the corresponding constant.
• Checking geometry:
  1. elevate the robot on a cart positioned in front of the operator console so the driver's perspective is the same as the robot's (i.e., the front of the robot facing away from the driver); we label the front, back, left, and right of the robot on the robot since which is which may be ambiguous until more of the robot is assembled
  2. position all four wheels such that they are pointing forward (bevel gears all facing the same direction as when the steer offsets were determined)
  3. push the drive joystick forward
  4. verify that the joystick is specifying a positive x velocity (graph AdvantageKit/RealOutput/TeleopSwerve/xVelocity in AdvantageScope); if not, update the corresponding method in the OperatorInterface subclass
  5. verify that each wheel is rotating to move the robot forward (+x direction)
  6. verify that the drive TalonFX distance is consistent (graph AdvantageKit/Mod0/DriveDistanceMeters and verify that it is increasing; check all 4 modules)
  7. perform steps 3-6 but pull the drive joystick backwards (xVelocity should be negative and DriveDistanceMeters should decrease)
  8. perform steps 3-6 but push the drive joystick to the left (yVelocity should be positive; DriveDistanceMeters should increase if the wheel is pointed to the left and decrease if pointed to the right; add AdvantageKit/RealOutputs/SwerveModuleStates to the Swerve tab in AdvantageScope to visualize)
  9. perform steps 3-6 but push the drive joystick to the right (yVelocity should be negative; DriveDistanceMeters should increase if the wheel is pointed to the right and decrease if pointed to the left; use the Swerve tab in AdvantageScope to visualize)
  10. push the rotate joystick in the direction to rotate CCW (when looking down on the robot)
  11. verify that the joystick is specifying a positive rotational velocity (graph AdvantageKit/RealOutput/TeleopSwerve/rotationalVelocity in AdvantageScope); if not, update the corresponding method in the OperatorInterface subclass
  12. verify that each wheel is rotating to rotate the robot in a CCW direction
  13. perform steps 10-12 but push the rotate joystick in the direction to rotate CW
  14. graph AdvantageKit/Drive/Gyro/PositionDeg
  15. rotate the cart in a CCW direction and verify that the gyro is increasing
  16. rotate the cart in a CW direction and verify that the gyro is decreasing
  17. use Phoenix Tuner to flash the LEDs on the Falcon 500s and CANcoders to ensure that the CAN IDs are properly assigned to the front-left, front-right, back-left, and back-right positions (all of the above may behave as expected even if the modules aren't assigned to the appropriate corners)
• Angle characterization values (ANGLE_KS, ANGLE_KV, ANGLE_KA) in in your RobotConfig subclass (e.g., DefaultRobotConfig.java):
  • in Shuffleboard, set the "Auto Routine" chooser to "Swerve Rotate Characterization"
  • start the autonomous period
  • the FeedForwardCharacterization command will run and output the KS, KV, and KA values
  • copy the KS, KV, and KA values into the corresponding constants in your robot config file
• Angle Motor PID Values (ANGLE_KP, ANGLE_KI, ANGLE_KD) in your RobotConfig subclass (e.g., DefaultRobotConfig.java):
  • set TUNING_MODE in Constants.java to true
  • open Shuffleboard, go to the SmartDashboard tab, and see controls for each of the PID values; values can be changed via these controls as you interactively tune the controller
  • start with a low P value (10.0)
  • double until the module starts oscillating around the set point
  • scale back by searching for the value (for example, if it starts oscillating at a P of 100, then try (100 -> 50 -> 75 -> etc.)) until the module overshoots the setpoint but corrects with no oscillation
  • graph the anglePositionErrorDeg in Advantage Scope for each swerve module to assist in tuning
  • repeat the process for D; the D value will basically help prevent the overshoot
  • ignore I
  • copy the values from the Shuffleboard controls into SwerveModuleConstants.java
  • set TUNING_MODE in Constants.java to false
• Drive characterization values (DRIVE_KS, DRIVE_KV, DRIVE_KA) in in your RobotConfig subclass (e.g., DefaultRobotConfig.java):
  • in Shuffleboard, set the "Auto Routine" chooser to "Swerve Drive Characterization"
  • ensure that there is about 40' of carpet in front of the robot before enabling the auto routine; if there is less, increase RAMP_RATE_VOLTS_PER_SECOND in FeedForwardCharacterization
  • start the autonomous period
  • the FeedForwardCharacterization command will run and output the KS, KV, KA values (you do not need to lock the modules straight forward as the code will keep them oriented in the forward direction)
  • copy the KS, KV, and KA values into the corresponding constants in your robot config file
• Drive Motor PID Values (DRIVE_KP, DRIVE_KI, DRIVE_KD) in your RobotConfig subclass (e.g., DefaultRobotConfig.java):
  • set TUNING_MODE in Constants.java to true
  • open Shuffleboard, go to the SmartDashboard tab, and see controls for each of the PID values; values can be changed via these controls as you interactively tune the controller
  • in Shuffleboard, set the "Auto Routine" chooser to "Drive Velocity Tuning"
  • tune DRIVE_KP until it doesn't overshoot and doesn't oscillate around a target velocity
  • graph the driveVelocityErrorMetersPerSec in Advantage Scope for each swerve module to assist in tuning
  • copy the values from the Shuffleboard controls into SwerveModuleConstants.java
  • set TUNING_MODE in Constants.java to false
• AUTO_DRIVE_P_CONTROLLER and AUTO_TURN_P_CONTROLLER constants in in your RobotConfig subclass (e.g., DefaultRobotConfig.java):
  • set TUNING_MODE in Constants.java to true
  • open Shuffleboard, go to the SmartDashboard tab, and see controls for each of the PID values; values can be changed via these controls as you interactively tune the controller
  • tune until until auto paths are smoothly followed
  • graph the PathFollowing/xPosError, PathFollowing/yPosError, and PathFollowing/rotationError in Advantage Scope for each swerve module to assist in tuning
  • copy the values from the Shuffleboard controls into DrivetrainConstants.java
  • set TUNING_MODE in Constants.java to false

Joystick Mappings

• This code is setup to use 2 joysticks to control the robot.
• Joystick 0 controls translation (forwards and sideways movement), and Joystick 1 controls rotation.
• Joystick 0's button 9 enables and disables field-relative driving.
• Joystick 0's button 4 zeroes the gyro, useful when testing teleop, just rotate the robot forwards, and press the button to rezero.
• Joystick 1's button 4 enables x-stance while pressed.

Credits

• MK4/MK4i code initially from Team 364's BaseFalconSwerve
• general AdvantageKit logging code, AdvantageKit-enabled Gyro classes, swerve module simulation, and drive characterization from Mechanical Advantage's SwerveDevelopment
• AdvantageKit-enabled pneumatics classes from Mechanical Advantage's 2022 robot code
• FaultReporter (originally AdvancedSubsystem), SubsystemFault, SelfChecking classes from Ranger Robotics
• Talon factories from Citrus Circuits 2022 robot code