Added linear digital filters

Linear digital filter class based on code from FRC team 341

Change-Id: I4c5198e36a089e08a6d054bf1bf80392def27e23
This commit is contained in:
Tyler Veness
2015-10-30 16:01:57 -07:00
committed by Peter Johnson
parent 6c89f34e44
commit e15ca5a414
21 changed files with 1964 additions and 5 deletions

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/*----------------------------------------------------------------------------*/
/* Copyright (c) FIRST 2015. All Rights Reserved. */
/* Open Source Software - may be modified and shared by FRC teams. The code */
/* must be accompanied by the FIRST BSD license file in the root directory of */
/* the project. */
/*----------------------------------------------------------------------------*/
package edu.wpi.first.wpilibj;
/**
* This is a simple circular buffer so we don't need to "bucket brigade" copy
* old values.
*/
public class CircularBuffer {
private double[] m_data;
private int m_front = 0;
private int m_length = 0;
public CircularBuffer(int size) {
m_data = new double[size];
for (double i : m_data) {
i = 0.0;
}
}
/**
* Push new value onto front of the buffer. The value at the back is
* overwritten if the buffer is full.
*/
public void pushFront(double value) {
if (m_data.length == 0) {
return;
}
m_front = moduloDec(m_front);
m_data[m_front] = value;
if (m_length < m_data.length) {
m_length++;
}
}
/**
* Push new value onto back of the buffer. The value at the front is
* overwritten if the buffer is full.
*/
public void pushBack(double value) {
if (m_data.length == 0) {
return;
}
m_data[(m_front + m_length) % m_data.length] = value;
if (m_length < m_data.length) {
m_length++;
} else {
// Increment front if buffer is full to maintain size
m_front = moduloInc(m_front);
}
}
/**
* Pop value at front of buffer.
*
* @return value at front of buffer
*/
public double popFront() {
// If there are no elements in the buffer, do nothing
if (m_length == 0) {
return 0.0;
}
double temp = m_data[m_front];
m_front = moduloInc(m_front);
m_length--;
return temp;
}
/**
* Pop value at back of buffer.
*/
public double popBack() {
// If there are no elements in the buffer, do nothing
if (m_length == 0) {
return 0.0;
}
m_length--;
return m_data[(m_front + m_length) % m_data.length];
}
public void reset() {
for (double i : m_data) {
i = 0.0;
}
m_front = 0;
m_length = 0;
}
/**
* @return element at index starting from front of buffer.
*/
public double get(int index) {
return m_data[(m_front + index) % m_data.length];
}
/**
* Increment an index modulo the length of the m_data buffer
*/
private int moduloInc(int index) {
return (index + 1) % m_data.length;
}
/**
* Decrement an index modulo the length of the m_data buffer
*/
private int moduloDec(int index) {
if (index == 0) {
return m_data.length - 1;
} else {
return index - 1;
}
}
}

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/*----------------------------------------------------------------------------*/
/* Copyright (c) FIRST 2015. All Rights Reserved. */
/* Open Source Software - may be modified and shared by FRC teams. The code */
/* must be accompanied by the FIRST BSD license file in the root directory of */
/* the project. */
/*----------------------------------------------------------------------------*/
package edu.wpi.first.wpilibj.filters;
import edu.wpi.first.wpilibj.PIDSource;
import edu.wpi.first.wpilibj.PIDSourceType;
/**
* Superclass for filters
*/
public abstract class Filter implements PIDSource {
private PIDSource m_source;
public Filter(PIDSource source) {
m_source = source;
}
/**
* {@inheritDoc}
*/
@Override
public void setPIDSourceType(PIDSourceType pidSource) {
m_source.setPIDSourceType(pidSource);
}
/**
* {@inheritDoc}
*/
public PIDSourceType getPIDSourceType() {
return m_source.getPIDSourceType();
}
/**
* {@inheritDoc}
*/
@Override
public abstract double pidGet();
/**
* Returns the current filter estimate without also inserting new data as
* pidGet() would do.
*
* @return The current filter estimate
*/
public abstract double get();
/**
* Reset the filter state
*/
public abstract void reset();
/**
* Calls PIDGet() of source
*
* @return Current value of source
*/
protected double pidGetSource() {
return m_source.pidGet();
}
}

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/*----------------------------------------------------------------------------*/
/* Copyright (c) FIRST 2015. All Rights Reserved. */
/* Open Source Software - may be modified and shared by FRC teams. The code */
/* must be accompanied by the FIRST BSD license file in the root directory of */
/* the project. */
/*----------------------------------------------------------------------------*/
package edu.wpi.first.wpilibj.filters;
import edu.wpi.first.wpilibj.filters.Filter;
import edu.wpi.first.wpilibj.CircularBuffer;
import edu.wpi.first.wpilibj.PIDSource;
/**
* This class implements a linear, digital filter. All types of FIR and IIR
* filters are supported. Static factory methods are provided to create commonly
* used types of filters.
*
* Filters are of the form:
* y[n] = (b0*x[n] + b1*x[n-1] + ... + bP*x[n-P) - (a0*y[n-1] + a2*y[n-2] + ... + aQ*y[n-Q])
*
* Where:
* y[n] is the output at time "n"
* x[n] is the input at time "n"
* y[n-1] is the output from the LAST time step ("n-1")
* x[n-1] is the input from the LAST time step ("n-1")
* b0...bP are the "feedforward" (FIR) gains
* a0...aQ are the "feedback" (IIR) gains
* IMPORTANT! Note the "-" sign in front of the feedback term! This is a common
* convention in signal processing.
*
* What can linear filters do? Basically, they can filter, or diminish, the
* effects of undesirable input frequencies. High frequencies, or rapid changes,
* can be indicative of sensor noise or be otherwise undesirable. A "low pass"
* filter smooths out the signal, reducing the impact of these high frequency
* components. Likewise, a "high pass" filter gets rid of slow-moving signal
* components, letting you detect large changes more easily.
*
* Example FRC applications of filters:
* - Getting rid of noise from an analog sensor input (note: the roboRIO's FPGA
* can do this faster in hardware)
* - Smoothing out joystick input to prevent the wheels from slipping or the
* robot from tipping
* - Smoothing motor commands so that unnecessary strain isn't put on
* electrical or mechanical components
* - If you use clever gains, you can make a PID controller out of this class!
*
* For more on filters, I highly recommend the following articles:
* http://en.wikipedia.org/wiki/Linear_filter
* http://en.wikipedia.org/wiki/Iir_filter
* http://en.wikipedia.org/wiki/Fir_filter
*
* Note 1: PIDGet() should be called by the user on a known, regular period.
* You can set up a Notifier to do this (look at the WPILib PIDController
* class), or do it "inline" with code in a periodic function.
*
* Note 2: For ALL filters, gains are necessarily a function of frequency. If
* you make a filter that works well for you at, say, 100Hz, you will most
* definitely need to adjust the gains if you then want to run it at 200Hz!
* Combining this with Note 1 - the impetus is on YOU as a developer to make
* sure PIDGet() gets called at the desired, constant frequency!
*/
public class LinearDigitalFilter extends Filter {
private CircularBuffer m_inputs;
private CircularBuffer m_outputs;
private double[] m_inputGains;
private double[] m_outputGains;
/**
* Create a linear FIR or IIR filter
*
* @param source The PIDSource object that is used to get values
* @param ffGains The "feed forward" or FIR gains
* @param fbGains The "feed back" or IIR gains
*/
public LinearDigitalFilter(PIDSource source, double[] ffGains,
double[] fbGains) {
super(source);
m_inputs = new CircularBuffer(ffGains.length);
m_outputs = new CircularBuffer(fbGains.length);
m_inputGains = ffGains;
m_outputGains = fbGains;
}
/**
* Creates a one-pole IIR low-pass filter of the form:
* y[n] = (1-gain)*x[n] + gain*y[n-1]
* where gain = e^(-dt / T), T is the time constant in seconds
*
* This filter is stable for time constants greater than zero
*
* @param source The PIDSource object that is used to get values
* @param timeConstant The discrete-time time constant in seconds
* @param period The period in seconds between samples taken by the user
*/
public static LinearDigitalFilter singlePoleIIR(PIDSource source,
double timeConstant,
double period) {
double gain = Math.exp(-period / timeConstant);
double[] ffGains = {1.0 - gain};
double[] fbGains = {-gain};
return new LinearDigitalFilter(source, ffGains, fbGains);
}
/**
* Creates a first-order high-pass filter of the form:
* y[n] = gain*x[n] + (-gain)*x[n-1] + gain*y[n-1]
* where gain = e^(-dt / T), T is the time constant in seconds
*
* This filter is stable for time constants greater than zero
*
* @param source The PIDSource object that is used to get values
* @param timeConstant The discrete-time time constant in seconds
* @param period The period in seconds between samples taken by the user
*/
public static LinearDigitalFilter highPass(PIDSource source,
double timeConstant,
double period) {
double gain = Math.exp(-period / timeConstant);
double[] ffGains = {gain, -gain};
double[] fbGains = {-gain};
return new LinearDigitalFilter(source, ffGains, fbGains);
}
/**
* Creates a K-tap FIR moving average filter of the form:
* y[n] = 1/k * (x[k] + x[k-1] + ... + x[0])
*
* This filter is always stable.
*
* @param source The PIDSource object that is used to get values
* @param taps The number of samples to average over. Higher = smoother but
* slower
* @throws IllegalArgumentException if number of taps is less than 1
*/
public static LinearDigitalFilter movingAverage(PIDSource source, int taps) {
if (taps <= 0) {
throw new IllegalArgumentException("Number of taps was not at least 1");
}
double[] ffGains = new double[taps];
for (int i = 0; i < ffGains.length; i++) {
ffGains[i] = 1.0 / taps;
}
double[] fbGains = new double[0];
return new LinearDigitalFilter(source, ffGains, fbGains);
}
/**
* {@inheritDoc}
*/
@Override
public double get() {
double retVal = 0.0;
// Calculate the new value
for (int i = 0; i < m_inputGains.length; i++) {
retVal += m_inputs.get(i) * m_inputGains[i];
}
for (int i = 0; i < m_outputGains.length; i++) {
retVal -= m_outputs.get(i) * m_outputGains[i];
}
return retVal;
}
/**
* {@inheritDoc}
*/
@Override
public void reset() {
m_inputs.reset();
m_outputs.reset();
}
/**
* Calculates the next value of the filter
*
* @return The filtered value at this step
*/
@Override
public double pidGet() {
double retVal = 0.0;
// Rotate the inputs
m_inputs.pushFront(pidGetSource());
// Calculate the new value
for (int i = 0; i < m_inputGains.length; i++) {
retVal += m_inputs.get(i) * m_inputGains[i];
}
for (int i = 0; i < m_outputGains.length; i++) {
retVal -= m_outputs.get(i) * m_outputGains[i];
}
// Rotate the outputs
m_outputs.pushFront(retVal);
return retVal;
}
}