[wpilib] Remove PIDController, PIDOutput, PIDSource

Move them to the old commands vendordep so that PIDCommand and PIDSubsystem
continue to work.

This also removes Filter and LinearDigitalFilter.
This commit is contained in:
Peter Johnson
2021-03-12 15:41:52 -08:00
parent 3abe0b9d49
commit 6b168ab0c8
69 changed files with 30 additions and 1248 deletions

View File

@@ -0,0 +1,819 @@
// 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.
package edu.wpi.first.wpilibj;
import static edu.wpi.first.wpilibj.util.ErrorMessages.requireNonNullParam;
import edu.wpi.first.hal.FRCNetComm.tResourceType;
import edu.wpi.first.hal.HAL;
import edu.wpi.first.hal.util.BoundaryException;
import edu.wpi.first.wpilibj.smartdashboard.SendableBuilder;
import edu.wpi.first.wpilibj.smartdashboard.SendableRegistry;
import java.util.concurrent.locks.ReentrantLock;
/**
* Class implements a PID Control Loop.
*
* <p>Creates a separate thread which reads the given PIDSource and takes care of the integral
* calculations, as well as writing the given PIDOutput.
*
* <p>This feedback controller runs in discrete time, so time deltas are not used in the integral
* and derivative calculations. Therefore, the sample rate affects the controller's behavior for a
* given set of PID constants.
*
* @deprecated All APIs which use this have been deprecated.
*/
@Deprecated(since = "2020", forRemoval = true)
@SuppressWarnings("PMD.TooManyFields")
public class PIDBase implements PIDInterface, PIDOutput, Sendable, AutoCloseable {
public static final double kDefaultPeriod = 0.05;
private static int instances;
// Factor for "proportional" control
@SuppressWarnings("MemberName")
private double m_P;
// Factor for "integral" control
@SuppressWarnings("MemberName")
private double m_I;
// Factor for "derivative" control
@SuppressWarnings("MemberName")
private double m_D;
// Factor for "feed forward" control
@SuppressWarnings("MemberName")
private double m_F;
// |maximum output|
private double m_maximumOutput = 1.0;
// |minimum output|
private double m_minimumOutput = -1.0;
// Maximum input - limit setpoint to this
private double m_maximumInput;
// Minimum input - limit setpoint to this
private double m_minimumInput;
// Input range - difference between maximum and minimum
private double m_inputRange;
// Do the endpoints wrap around? (e.g., absolute encoder)
private boolean m_continuous;
// Is the PID controller enabled
protected boolean m_enabled;
// The prior error (used to compute velocity)
private double m_prevError;
// The sum of the errors for use in the integral calc
private double m_totalError;
// The tolerance object used to check if on target
private Tolerance m_tolerance;
private double m_setpoint;
private double m_prevSetpoint;
@SuppressWarnings("PMD.UnusedPrivateField")
private double m_error;
private double m_result;
private LinearFilter m_filter;
protected ReentrantLock m_thisMutex = new ReentrantLock();
// Ensures when disable() is called, pidWrite() won't run if calculate()
// is already running at that time.
protected ReentrantLock m_pidWriteMutex = new ReentrantLock();
protected PIDSource m_pidInput;
protected PIDOutput m_pidOutput;
protected Timer m_setpointTimer;
/**
* Tolerance is the type of tolerance used to specify if the PID controller is on target.
*
* <p>The various implementations of this class such as PercentageTolerance and AbsoluteTolerance
* specify types of tolerance specifications to use.
*/
public interface Tolerance {
boolean onTarget();
}
/** Used internally for when Tolerance hasn't been set. */
public static class NullTolerance implements Tolerance {
@Override
public boolean onTarget() {
throw new IllegalStateException("No tolerance value set when calling onTarget().");
}
}
public class PercentageTolerance implements Tolerance {
private final double m_percentage;
PercentageTolerance(double value) {
m_percentage = value;
}
@Override
public boolean onTarget() {
return Math.abs(getError()) < m_percentage / 100 * m_inputRange;
}
}
public class AbsoluteTolerance implements Tolerance {
private final double m_value;
AbsoluteTolerance(double value) {
m_value = value;
}
@Override
public boolean onTarget() {
return Math.abs(getError()) < m_value;
}
}
/**
* Allocate a PID object with the given constants for P, I, D, and F.
*
* @param Kp the proportional coefficient
* @param Ki the integral coefficient
* @param Kd the derivative coefficient
* @param Kf the feed forward term
* @param source The PIDSource object that is used to get values
* @param output The PIDOutput object that is set to the output percentage
*/
@SuppressWarnings("ParameterName")
public PIDBase(double Kp, double Ki, double Kd, double Kf, PIDSource source, PIDOutput output) {
requireNonNullParam(source, "PIDSource", "PIDBase");
requireNonNullParam(output, "output", "PIDBase");
m_setpointTimer = new Timer();
m_setpointTimer.start();
m_P = Kp;
m_I = Ki;
m_D = Kd;
m_F = Kf;
m_pidInput = source;
m_filter = LinearFilter.movingAverage(1);
m_pidOutput = output;
instances++;
HAL.report(tResourceType.kResourceType_PIDController, instances);
m_tolerance = new NullTolerance();
SendableRegistry.add(this, "PIDController", instances);
}
/**
* Allocate a PID object with the given constants for P, I, and D.
*
* @param Kp the proportional coefficient
* @param Ki the integral coefficient
* @param Kd the derivative coefficient
* @param source the PIDSource object that is used to get values
* @param output the PIDOutput object that is set to the output percentage
*/
@SuppressWarnings("ParameterName")
public PIDBase(double Kp, double Ki, double Kd, PIDSource source, PIDOutput output) {
this(Kp, Ki, Kd, 0.0, source, output);
}
@Override
public void close() {
SendableRegistry.remove(this);
}
/**
* Read the input, calculate the output accordingly, and write to the output. This should only be
* called by the PIDTask and is created during initialization.
*/
@SuppressWarnings({"LocalVariableName", "PMD.ExcessiveMethodLength", "PMD.NPathComplexity"})
protected void calculate() {
if (m_pidInput == null || m_pidOutput == null) {
return;
}
boolean enabled;
m_thisMutex.lock();
try {
enabled = m_enabled;
} finally {
m_thisMutex.unlock();
}
if (enabled) {
double input;
// Storage for function inputs
PIDSourceType pidSourceType;
double P;
double I;
double D;
double feedForward = calculateFeedForward();
double minimumOutput;
double maximumOutput;
// Storage for function input-outputs
double prevError;
double error;
double totalError;
m_thisMutex.lock();
try {
input = m_filter.calculate(m_pidInput.pidGet());
pidSourceType = m_pidInput.getPIDSourceType();
P = m_P;
I = m_I;
D = m_D;
minimumOutput = m_minimumOutput;
maximumOutput = m_maximumOutput;
prevError = m_prevError;
error = getContinuousError(m_setpoint - input);
totalError = m_totalError;
} finally {
m_thisMutex.unlock();
}
// Storage for function outputs
double result;
if (pidSourceType.equals(PIDSourceType.kRate)) {
if (P != 0) {
totalError = clamp(totalError + error, minimumOutput / P, maximumOutput / P);
}
result = P * totalError + D * error + feedForward;
} else {
if (I != 0) {
totalError = clamp(totalError + error, minimumOutput / I, maximumOutput / I);
}
result = P * error + I * totalError + D * (error - prevError) + feedForward;
}
result = clamp(result, minimumOutput, maximumOutput);
// Ensures m_enabled check and pidWrite() call occur atomically
m_pidWriteMutex.lock();
try {
m_thisMutex.lock();
try {
if (m_enabled) {
// Don't block other PIDController operations on pidWrite()
m_thisMutex.unlock();
m_pidOutput.pidWrite(result);
}
} finally {
if (m_thisMutex.isHeldByCurrentThread()) {
m_thisMutex.unlock();
}
}
} finally {
m_pidWriteMutex.unlock();
}
m_thisMutex.lock();
try {
m_prevError = error;
m_error = error;
m_totalError = totalError;
m_result = result;
} finally {
m_thisMutex.unlock();
}
}
}
/**
* Calculate the feed forward term.
*
* <p>Both of the provided feed forward calculations are velocity feed forwards. If a different
* feed forward calculation is desired, the user can override this function and provide his or her
* own. This function does no synchronization because the PIDController class only calls it in
* synchronized code, so be careful if calling it oneself.
*
* <p>If a velocity PID controller is being used, the F term should be set to 1 over the maximum
* setpoint for the output. If a position PID controller is being used, the F term should be set
* to 1 over the maximum speed for the output measured in setpoint units per this controller's
* update period (see the default period in this class's constructor).
*/
protected double calculateFeedForward() {
if (m_pidInput.getPIDSourceType().equals(PIDSourceType.kRate)) {
return m_F * getSetpoint();
} else {
double temp = m_F * getDeltaSetpoint();
m_prevSetpoint = m_setpoint;
m_setpointTimer.reset();
return temp;
}
}
/**
* Set the PID Controller gain parameters. Set the proportional, integral, and differential
* coefficients.
*
* @param p Proportional coefficient
* @param i Integral coefficient
* @param d Differential coefficient
*/
@Override
@SuppressWarnings("ParameterName")
public void setPID(double p, double i, double d) {
m_thisMutex.lock();
try {
m_P = p;
m_I = i;
m_D = d;
} finally {
m_thisMutex.unlock();
}
}
/**
* Set the PID Controller gain parameters. Set the proportional, integral, and differential
* coefficients.
*
* @param p Proportional coefficient
* @param i Integral coefficient
* @param d Differential coefficient
* @param f Feed forward coefficient
*/
@SuppressWarnings("ParameterName")
public void setPID(double p, double i, double d, double f) {
m_thisMutex.lock();
try {
m_P = p;
m_I = i;
m_D = d;
m_F = f;
} finally {
m_thisMutex.unlock();
}
}
/**
* Set the Proportional coefficient of the PID controller gain.
*
* @param p Proportional coefficient
*/
@SuppressWarnings("ParameterName")
public void setP(double p) {
m_thisMutex.lock();
try {
m_P = p;
} finally {
m_thisMutex.unlock();
}
}
/**
* Set the Integral coefficient of the PID controller gain.
*
* @param i Integral coefficient
*/
@SuppressWarnings("ParameterName")
public void setI(double i) {
m_thisMutex.lock();
try {
m_I = i;
} finally {
m_thisMutex.unlock();
}
}
/**
* Set the Differential coefficient of the PID controller gain.
*
* @param d differential coefficient
*/
@SuppressWarnings("ParameterName")
public void setD(double d) {
m_thisMutex.lock();
try {
m_D = d;
} finally {
m_thisMutex.unlock();
}
}
/**
* Set the Feed forward coefficient of the PID controller gain.
*
* @param f feed forward coefficient
*/
@SuppressWarnings("ParameterName")
public void setF(double f) {
m_thisMutex.lock();
try {
m_F = f;
} finally {
m_thisMutex.unlock();
}
}
/**
* Get the Proportional coefficient.
*
* @return proportional coefficient
*/
@Override
public double getP() {
m_thisMutex.lock();
try {
return m_P;
} finally {
m_thisMutex.unlock();
}
}
/**
* Get the Integral coefficient.
*
* @return integral coefficient
*/
@Override
public double getI() {
m_thisMutex.lock();
try {
return m_I;
} finally {
m_thisMutex.unlock();
}
}
/**
* Get the Differential coefficient.
*
* @return differential coefficient
*/
@Override
public double getD() {
m_thisMutex.lock();
try {
return m_D;
} finally {
m_thisMutex.unlock();
}
}
/**
* Get the Feed forward coefficient.
*
* @return feed forward coefficient
*/
public double getF() {
m_thisMutex.lock();
try {
return m_F;
} finally {
m_thisMutex.unlock();
}
}
/**
* Return the current PID result This is always centered on zero and constrained the the max and
* min outs.
*
* @return the latest calculated output
*/
public double get() {
m_thisMutex.lock();
try {
return m_result;
} finally {
m_thisMutex.unlock();
}
}
/**
* Set the PID controller to consider the input to be continuous, Rather then using the max and
* min input range as constraints, it considers them to be the same point and automatically
* calculates the shortest route to the setpoint.
*
* @param continuous Set to true turns on continuous, false turns off continuous
*/
public void setContinuous(boolean continuous) {
if (continuous && m_inputRange <= 0) {
throw new IllegalStateException("No input range set when calling setContinuous().");
}
m_thisMutex.lock();
try {
m_continuous = continuous;
} finally {
m_thisMutex.unlock();
}
}
/**
* Set the PID controller to consider the input to be continuous, Rather then using the max and
* min input range as constraints, it considers them to be the same point and automatically
* calculates the shortest route to the setpoint.
*/
public void setContinuous() {
setContinuous(true);
}
/**
* Sets the maximum and minimum values expected from the input and setpoint.
*
* @param minimumInput the minimum value expected from the input
* @param maximumInput the maximum value expected from the input
*/
public void setInputRange(double minimumInput, double maximumInput) {
m_thisMutex.lock();
try {
if (minimumInput > maximumInput) {
throw new BoundaryException("Lower bound is greater than upper bound");
}
m_minimumInput = minimumInput;
m_maximumInput = maximumInput;
m_inputRange = maximumInput - minimumInput;
} finally {
m_thisMutex.unlock();
}
setSetpoint(m_setpoint);
}
/**
* Sets the minimum and maximum values to write.
*
* @param minimumOutput the minimum percentage to write to the output
* @param maximumOutput the maximum percentage to write to the output
*/
public void setOutputRange(double minimumOutput, double maximumOutput) {
m_thisMutex.lock();
try {
if (minimumOutput > maximumOutput) {
throw new BoundaryException("Lower bound is greater than upper bound");
}
m_minimumOutput = minimumOutput;
m_maximumOutput = maximumOutput;
} finally {
m_thisMutex.unlock();
}
}
/**
* Set the setpoint for the PIDController.
*
* @param setpoint the desired setpoint
*/
@Override
public void setSetpoint(double setpoint) {
m_thisMutex.lock();
try {
if (m_maximumInput > m_minimumInput) {
if (setpoint > m_maximumInput) {
m_setpoint = m_maximumInput;
} else if (setpoint < m_minimumInput) {
m_setpoint = m_minimumInput;
} else {
m_setpoint = setpoint;
}
} else {
m_setpoint = setpoint;
}
} finally {
m_thisMutex.unlock();
}
}
/**
* Returns the current setpoint of the PIDController.
*
* @return the current setpoint
*/
@Override
public double getSetpoint() {
m_thisMutex.lock();
try {
return m_setpoint;
} finally {
m_thisMutex.unlock();
}
}
/**
* Returns the change in setpoint over time of the PIDController.
*
* @return the change in setpoint over time
*/
public double getDeltaSetpoint() {
m_thisMutex.lock();
try {
return (m_setpoint - m_prevSetpoint) / m_setpointTimer.get();
} finally {
m_thisMutex.unlock();
}
}
/**
* Returns the current difference of the input from the setpoint.
*
* @return the current error
*/
@Override
public double getError() {
m_thisMutex.lock();
try {
return getContinuousError(getSetpoint() - m_filter.calculate(m_pidInput.pidGet()));
} finally {
m_thisMutex.unlock();
}
}
/**
* Returns the current difference of the error over the past few iterations. You can specify the
* number of iterations to average with setToleranceBuffer() (defaults to 1). getAvgError() is
* used for the onTarget() function.
*
* @deprecated Use getError(), which is now already filtered.
* @return the current average of the error
*/
@Deprecated
public double getAvgError() {
m_thisMutex.lock();
try {
return getError();
} finally {
m_thisMutex.unlock();
}
}
/**
* Sets what type of input the PID controller will use.
*
* @param pidSource the type of input
*/
public void setPIDSourceType(PIDSourceType pidSource) {
m_pidInput.setPIDSourceType(pidSource);
}
/**
* Returns the type of input the PID controller is using.
*
* @return the PID controller input type
*/
public PIDSourceType getPIDSourceType() {
return m_pidInput.getPIDSourceType();
}
/**
* Set the PID tolerance using a Tolerance object. Tolerance can be specified as a percentage of
* the range or as an absolute value. The Tolerance object encapsulates those options in an
* object. Use it by creating the type of tolerance that you want to use: setTolerance(new
* PIDController.AbsoluteTolerance(0.1))
*
* @deprecated Use setPercentTolerance() instead.
* @param tolerance A tolerance object of the right type, e.g. PercentTolerance or
* AbsoluteTolerance
*/
@Deprecated
public void setTolerance(Tolerance tolerance) {
m_tolerance = tolerance;
}
/**
* Set the absolute error which is considered tolerable for use with OnTarget.
*
* @param absvalue absolute error which is tolerable in the units of the input object
*/
public void setAbsoluteTolerance(double absvalue) {
m_thisMutex.lock();
try {
m_tolerance = new AbsoluteTolerance(absvalue);
} finally {
m_thisMutex.unlock();
}
}
/**
* Set the percentage error which is considered tolerable for use with OnTarget. (Input of 15.0 =
* 15 percent)
*
* @param percentage percent error which is tolerable
*/
public void setPercentTolerance(double percentage) {
m_thisMutex.lock();
try {
m_tolerance = new PercentageTolerance(percentage);
} finally {
m_thisMutex.unlock();
}
}
/**
* Set the number of previous error samples to average for tolerancing. When determining whether a
* mechanism is on target, the user may want to use a rolling average of previous measurements
* instead of a precise position or velocity. This is useful for noisy sensors which return a few
* erroneous measurements when the mechanism is on target. However, the mechanism will not
* register as on target for at least the specified bufLength cycles.
*
* @deprecated Use a LinearFilter as the input.
* @param bufLength Number of previous cycles to average.
*/
@Deprecated
public void setToleranceBuffer(int bufLength) {
m_thisMutex.lock();
try {
m_filter = LinearFilter.movingAverage(bufLength);
} finally {
m_thisMutex.unlock();
}
}
/**
* Return true if the error is within the percentage of the total input range, determined by
* setTolerance. This assumes that the maximum and minimum input were set using setInput.
*
* @return true if the error is less than the tolerance
*/
public boolean onTarget() {
m_thisMutex.lock();
try {
return m_tolerance.onTarget();
} finally {
m_thisMutex.unlock();
}
}
/** Reset the previous error, the integral term, and disable the controller. */
@Override
public void reset() {
m_thisMutex.lock();
try {
m_prevError = 0;
m_totalError = 0;
m_result = 0;
} finally {
m_thisMutex.unlock();
}
}
/**
* Passes the output directly to setSetpoint().
*
* <p>PIDControllers can be nested by passing a PIDController as another PIDController's output.
* In that case, the output of the parent controller becomes the input (i.e., the reference) of
* the child.
*
* <p>It is the caller's responsibility to put the data into a valid form for setSetpoint().
*/
@Override
public void pidWrite(double output) {
setSetpoint(output);
}
@Override
public void initSendable(SendableBuilder builder) {
builder.setSmartDashboardType("PIDController");
builder.setSafeState(this::reset);
builder.addDoubleProperty("p", this::getP, this::setP);
builder.addDoubleProperty("i", this::getI, this::setI);
builder.addDoubleProperty("d", this::getD, this::setD);
builder.addDoubleProperty("f", this::getF, this::setF);
builder.addDoubleProperty("setpoint", this::getSetpoint, this::setSetpoint);
}
/**
* Wraps error around for continuous inputs. The original error is returned if continuous mode is
* disabled. This is an unsynchronized function.
*
* @param error The current error of the PID controller.
* @return Error for continuous inputs.
*/
protected double getContinuousError(double error) {
if (m_continuous && m_inputRange > 0) {
error %= m_inputRange;
if (Math.abs(error) > m_inputRange / 2) {
if (error > 0) {
return error - m_inputRange;
} else {
return error + m_inputRange;
}
}
}
return error;
}
private static double clamp(double value, double low, double high) {
return Math.max(low, Math.min(value, high));
}
}