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AlphaFilter: merge with PX4 implementation
I made a separate implementation of the same filter for PX4. Now that I know it's duplicate I merge the two into one and reuse it.
This commit is contained in:
committed by
Mathieu Bresciani
parent
1e033c4719
commit
65a4ca9d65
+42
-14
@@ -1,6 +1,6 @@
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/****************************************************************************
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*
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* Copyright (c) 2019 PX4 Development Team. All rights reserved.
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* Copyright (c) 2019-2020 PX4 Development Team. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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@@ -32,32 +32,60 @@
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****************************************************************************/
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/**
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* First order "alpha" IIR digital filter
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* @file AlphaFilter.hpp
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*
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* @brief First order "alpha" IIR digital filter also known as leaky integrator or forgetting average.
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*
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* @author Mathieu Bresciani <brescianimathieu@gmail.com>
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* @author Matthias Grob <maetugr@gmail.com>
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*/
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#pragma once
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template <typename T>
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class AlphaFilter final {
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class AlphaFilter {
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public:
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AlphaFilter() = default;
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~AlphaFilter() = default;
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void reset(const T &val) { _x = val; }
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void update(const T &input, float tau, float dt) {
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const float alpha = dt / tau;
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update(input, alpha);
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/**
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* Set filter parameters for time abstraction
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*
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* Both parameters have to be provided in the same units.
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*
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* @param sample_interval interval between two samples
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* @param time_constant filter time constant determining convergence
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*/
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void setParameters(float sample_interval, float time_constant) {
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setAlpha(sample_interval / (time_constant + sample_interval));
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}
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void update(const T &input, float alpha) { _x = (1.f - alpha) * _x + alpha * input; }
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/**
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* Set filter parameter alpha directly without time abstraction
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*
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* @param alpha [0,1] filter weight for the previous state. High value - long time constant.
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*/
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void setAlpha(float alpha) { _alpha = alpha; }
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// Typical 0.9/0.1 lowpass filter
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void update(const T &input) { update(input, 0.1f); }
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/**
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* Set filter state to an initial value
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*
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* @param sample new initial value
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*/
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void reset(const T &sample) { _filter_state = sample; }
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const T &getState() const { return _x; }
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/**
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* Add a new raw value to the filter
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*
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* @return retrieve the filtered result
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*/
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void update(const T &sample) { _filter_state = updateCalculation(sample); }
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private:
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T _x{}; ///< current state of the filter
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const T &getState() const { return _filter_state; }
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protected:
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T updateCalculation(const T &sample) { return (1.f - _alpha) * _filter_state + _alpha * sample; }
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float _alpha{0.f};
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T _filter_state{};
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};
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+3
-1
@@ -48,7 +48,9 @@ bool Ekf::init(uint64_t timestamp)
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{
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bool ret = initialise_interface(timestamp);
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reset();
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_accel_lpf.setAlpha(.1f);
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_gyro_lpf.setAlpha(.1f);
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_mag_lpf.setAlpha(.1f);
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return ret;
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}
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@@ -458,11 +458,11 @@ private:
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bool _is_first_imu_sample{true};
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uint32_t _baro_counter{0}; ///< number of baro samples read during initialisation
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uint32_t _mag_counter{0}; ///< number of magnetometer samples read during initialisation
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AlphaFilterVector3f _accel_lpf; ///< filtered accelerometer measurement used to align tilt (m/s/s)
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AlphaFilterVector3f _gyro_lpf; ///< filtered gyro measurement used for alignment excessive movement check (rad/sec)
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AlphaFilter<Vector3f> _accel_lpf; ///< filtered accelerometer measurement used to align tilt (m/s/s)
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AlphaFilter<Vector3f> _gyro_lpf; ///< filtered gyro measurement used for alignment excessive movement check (rad/sec)
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// Variables used to perform in flight resets and switch between height sources
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AlphaFilterVector3f _mag_lpf; ///< filtered magnetometer measurement for instant reset (Gauss)
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AlphaFilter<Vector3f> _mag_lpf; ///< filtered magnetometer measurement for instant reset (Gauss)
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float _hgt_sensor_offset{0.0f}; ///< set as necessary if desired to maintain the same height after a height reset (m)
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float _baro_hgt_offset{0.0f}; ///< baro height reading at the local NED origin (m)
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@@ -59,8 +59,6 @@ class EstimatorInterface
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{
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public:
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typedef AlphaFilter<Vector3f> AlphaFilterVector3f;
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EstimatorInterface():_imu_down_sampler(FILTER_UPDATE_PERIOD_S){};
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virtual ~EstimatorInterface() = default;
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