mirror of https://github.com/ArduPilot/ardupilot
145 lines
5.1 KiB
C++
145 lines
5.1 KiB
C++
/*
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This program is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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#pragma once
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#include <AP_Math/AP_Math.h>
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#include <AP_Math/vectorN.h>
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#define ACCEL_CAL_MAX_NUM_PARAMS 9
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#define ACCEL_CAL_TOLERANCE 0.1
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#define MAX_ITERATIONS 50
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enum accel_cal_status_t {
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ACCEL_CAL_NOT_STARTED=0,
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ACCEL_CAL_WAITING_FOR_ORIENTATION=1,
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ACCEL_CAL_COLLECTING_SAMPLE=2,
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ACCEL_CAL_SUCCESS=3,
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ACCEL_CAL_FAILED=4
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};
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enum accel_cal_fit_type_t {
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ACCEL_CAL_AXIS_ALIGNED_ELLIPSOID=0,
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ACCEL_CAL_ELLIPSOID=1
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};
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class AccelCalibrator {
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public:
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AccelCalibrator();
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//Select options, initialise variables and initiate accel calibration
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void start(enum accel_cal_fit_type_t fit_type = ACCEL_CAL_AXIS_ALIGNED_ELLIPSOID, uint8_t num_samples = 6, float sample_time = 0.5f);
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void start(enum accel_cal_fit_type_t fit_type, uint8_t num_samples, float sample_time, Vector3f offset, Vector3f diag, Vector3f offdiag);
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// set Accel calibrator status to make itself ready for future accel cals
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void clear();
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// returns true if accel calibrator is running
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bool running();
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// set Accel calibrator to start collecting samples in the next cycle
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void collect_sample();
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// check if client's calibrator is active
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void check_for_timeout();
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// get diag,offset or offdiag parameters as per the selected fitting surface or request
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void get_calibration(Vector3f& offset) const;
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void get_calibration(Vector3f& offset, Vector3f& diag) const;
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void get_calibration(Vector3f& offset, Vector3f& diag, Vector3f& offdiag) const;
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// collect and avg sample to be passed onto LSQ estimator after all requisite orientations are done
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void new_sample(const Vector3f& delta_velocity, float dt);
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// interface for LSq estimator to read sample buffer sent after conversion from delta velocity
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// to averaged acc over time
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bool get_sample(uint8_t i, Vector3f& s) const;
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// returns truen and sample corrected with diag offdiag parameters as calculated by LSq estimation procedure
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// returns false if no correct parameter exists to be applied along with existing sample without corrections
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bool get_sample_corrected(uint8_t i, Vector3f& s) const;
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// set tolerance bar for parameter fitness value to cross so as to be deemed as correct values
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void set_tolerance(float tolerance) { _conf_tolerance = tolerance; }
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// returns current state of accel calibrators
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enum accel_cal_status_t get_status() const { return _status; }
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// returns number of samples collected
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uint8_t get_num_samples_collected() const { return _samples_collected; }
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// returns mean squared fitness of sample points to the selected surface
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float get_fitness() const { return _fitness; }
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struct param_t {
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Vector3f offset;
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Vector3f diag;
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Vector3f offdiag;
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};
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private:
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struct AccelSample {
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Vector3f delta_velocity;
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float delta_time;
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};
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typedef VectorN<float, ACCEL_CAL_MAX_NUM_PARAMS> VectorP;
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union param_u {
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struct param_t s;
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VectorN<float, ACCEL_CAL_MAX_NUM_PARAMS> a;
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param_u() : a{}
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{
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static_assert(sizeof(*this) == sizeof(struct param_t),
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"Invalid union members: sizes do not match");
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}
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};
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//configuration
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uint8_t _conf_num_samples;
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float _conf_sample_time;
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enum accel_cal_fit_type_t _conf_fit_type;
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float _conf_tolerance;
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// state
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accel_cal_status_t _status;
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struct AccelSample* _sample_buffer;
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uint8_t _samples_collected;
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union param_u _param;
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float _fitness;
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uint32_t _last_samp_frag_collected_ms;
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float _min_sample_dist;
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// private methods
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// check sanity of including the sample and add it to buffer if test is passed
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bool accept_sample(const Vector3f& sample);
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// reset to calibrator state before the start of calibration
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void reset_state();
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// sets status of calibrator and takes appropriate actions
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void set_status(enum accel_cal_status_t);
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// determines if the result is acceptable
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bool accept_result() const;
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// returns number of parameters are required for selected Fit type
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uint8_t get_num_params() const;
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// Function related to Gauss Newton Least square regression process
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float calc_residual(const Vector3f& sample, const struct param_t& params) const;
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float calc_mean_squared_residuals() const;
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float calc_mean_squared_residuals(const struct param_t& params) const;
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void calc_jacob(const Vector3f& sample, const struct param_t& params, VectorP& ret) const;
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void run_fit(uint8_t max_iterations, float& fitness);
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};
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