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Added linear digital filters
Linear digital filter class based on code from FRC team 341 Change-Id: I4c5198e36a089e08a6d054bf1bf80392def27e23
This commit is contained in:
committed by
Peter Johnson
parent
6c89f34e44
commit
e15ca5a414
24
wpilibc/shared/src/Filters/Filter.cpp
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24
wpilibc/shared/src/Filters/Filter.cpp
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/*----------------------------------------------------------------------------*/
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/* Copyright (c) FIRST 2015. All Rights Reserved. */
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/* Open Source Software - may be modified and shared by FRC teams. The code */
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/* must be accompanied by the FIRST BSD license file in the root directory of */
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/* the project. */
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/*----------------------------------------------------------------------------*/
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#include "Filters/Filter.h"
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Filter::Filter(std::shared_ptr<PIDSource> source) {
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m_source = source;
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}
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void Filter::SetPIDSourceType(PIDSourceType pidSource) {
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m_source->SetPIDSourceType(pidSource);
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}
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PIDSourceType Filter::GetPIDSourceType() const {
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return m_source->GetPIDSourceType();
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}
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double Filter::PIDGetSource() {
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return m_source->PIDGet();
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}
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166
wpilibc/shared/src/Filters/LinearDigitalFilter.cpp
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166
wpilibc/shared/src/Filters/LinearDigitalFilter.cpp
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/*----------------------------------------------------------------------------*/
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/* Copyright (c) FIRST 2015. All Rights Reserved. */
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/* Open Source Software - may be modified and shared by FRC teams. The code */
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/* must be accompanied by the FIRST BSD license file in the root directory of */
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/* the project. */
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/*----------------------------------------------------------------------------*/
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#include "Filters/LinearDigitalFilter.h"
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#include <cassert>
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#include <cmath>
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/**
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* Create a linear FIR or IIR filter
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*
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* @param source The PIDSource object that is used to get values
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* @param ffGains The "feed forward" or FIR gains
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* @param fbGains The "feed back" or IIR gains
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*/
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LinearDigitalFilter::LinearDigitalFilter(std::shared_ptr<PIDSource> source,
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std::initializer_list<double> ffGains,
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std::initializer_list<double> fbGains) :
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Filter(source), m_inputs(ffGains.size()), m_outputs(fbGains.size()),
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m_inputGains(ffGains), m_outputGains(fbGains) {}
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/**
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* Create a linear FIR or IIR filter
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*
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* @param source The PIDSource object that is used to get values
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* @param ffGains The "feed forward" or FIR gains
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* @param fbGains The "feed back" or IIR gains
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*/
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LinearDigitalFilter::LinearDigitalFilter(std::shared_ptr<PIDSource> source,
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std::initializer_list<double> ffGains,
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const std::vector<double>& fbGains) :
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Filter(source), m_inputs(ffGains.size()), m_outputs(fbGains.size()),
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m_inputGains(ffGains), m_outputGains(fbGains) {}
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/**
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* Create a linear FIR or IIR filter
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*
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* @param source The PIDSource object that is used to get values
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* @param ffGains The "feed forward" or FIR gains
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* @param fbGains The "feed back" or IIR gains
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*/
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LinearDigitalFilter::LinearDigitalFilter(std::shared_ptr<PIDSource> source,
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const std::vector<double>& ffGains,
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std::initializer_list<double> fbGains) :
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Filter(source), m_inputs(ffGains.size()), m_outputs(fbGains.size()),
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m_inputGains(ffGains), m_outputGains(fbGains) {}
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/**
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* Create a linear FIR or IIR filter
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*
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* @param source The PIDSource object that is used to get values
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* @param ffGains The "feed forward" or FIR gains
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* @param fbGains The "feed back" or IIR gains
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*/
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LinearDigitalFilter::LinearDigitalFilter(std::shared_ptr<PIDSource> source,
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const std::vector<double>& ffGains,
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const std::vector<double>& fbGains) :
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Filter(source), m_inputs(ffGains.size()), m_outputs(fbGains.size()),
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m_inputGains(ffGains), m_outputGains(fbGains) {}
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/**
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* Creates a one-pole IIR low-pass filter of the form:
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* y[n] = (1-gain)*x[n] + gain*y[n-1]
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* where gain = e^(-dt / T), T is the time constant in seconds
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*
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* This filter is stable for time constants greater than zero
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*
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* @param source The PIDSource object that is used to get values
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* @param timeConstant The discrete-time time constant in seconds
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* @param period The period in seconds between samples taken by the user
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*/
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LinearDigitalFilter LinearDigitalFilter::SinglePoleIIR(std::shared_ptr<PIDSource> source,
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double timeConstant,
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double period) {
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double gain = std::exp(-period / timeConstant);
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return LinearDigitalFilter(std::move(source), {1.0 - gain}, {-gain});
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}
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/**
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* Creates a first-order high-pass filter of the form:
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* y[n] = gain*x[n] + (-gain)*x[n-1] + gain*y[n-1]
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* where gain = e^(-dt / T), T is the time constant in seconds
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*
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* This filter is stable for time constants greater than zero
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*
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* @param source The PIDSource object that is used to get values
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* @param timeConstant The discrete-time time constant in seconds
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* @param period The period in seconds between samples taken by the user
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*/
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LinearDigitalFilter LinearDigitalFilter::HighPass(std::shared_ptr<PIDSource> source,
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double timeConstant,
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double period) {
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double gain = std::exp(-period / timeConstant);
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return LinearDigitalFilter(std::move(source), {gain, -gain}, {-gain});
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}
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/**
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* Creates a K-tap FIR moving average filter of the form:
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* y[n] = 1/k * (x[k] + x[k-1] + ... + x[0])
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*
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* This filter is always stable.
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*
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* @param source The PIDSource object that is used to get values
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* @param taps The number of samples to average over. Higher = smoother but
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* slower
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*/
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LinearDigitalFilter LinearDigitalFilter::MovingAverage(std::shared_ptr<PIDSource> source,
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unsigned int taps) {
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assert(taps > 0);
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std::vector<double> gains(taps, 1.0 / taps);
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return LinearDigitalFilter(std::move(source), gains, {});
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}
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/**
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* {@inheritDoc}
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*/
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double LinearDigitalFilter::Get() const {
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double retVal = 0.0;
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// Calculate the new value
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for (unsigned int i = 0; i < m_inputGains.size(); i++) {
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retVal += m_inputs[i] * m_inputGains[i];
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}
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for (unsigned int i = 0; i < m_outputGains.size(); i++) {
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retVal -= m_outputs[i] * m_outputGains[i];
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}
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return retVal;
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}
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/**
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* {@inheritDoc}
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*/
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void LinearDigitalFilter::Reset() {
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m_inputs.Reset();
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m_outputs.Reset();
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}
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/**
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* Calculates the next value of the filter
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*
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* @return The filtered value at this step
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*/
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double LinearDigitalFilter::PIDGet() {
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double retVal = 0.0;
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// Rotate the inputs
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m_inputs.PushFront(PIDGetSource());
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// Calculate the new value
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for (unsigned int i = 0; i < m_inputGains.size(); i++) {
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retVal += m_inputs[i] * m_inputGains[i];
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}
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for (unsigned int i = 0; i < m_outputGains.size(); i++) {
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retVal -= m_outputs[i] * m_outputGains[i];
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}
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// Rotate the outputs
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m_outputs.PushFront(retVal);
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return retVal;
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}
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