mirror of https://github.com/ArduPilot/ardupilot
138 lines
4.7 KiB
C++
138 lines
4.7 KiB
C++
/* Variometer class by Samuel Tabor
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Manages the estimation of aircraft total energy, drag and vertical air velocity.
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*/
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#include "Variometer.h"
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#include <AP_Logger/AP_Logger.h>
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Variometer::Variometer(const AP_Vehicle::FixedWing &parms, const PolarParams &polarParams) :
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_aparm(parms),
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_polarParams(polarParams)
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{
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}
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void Variometer::update(const float thermal_bank)
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{
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const AP_AHRS &_ahrs = AP::ahrs();
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_ahrs.get_relative_position_D_home(alt);
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alt = -alt;
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float aspd = 0;
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if (!_ahrs.airspeed_estimate(aspd)) {
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aspd = _aparm.airspeed_cruise_cm * 0.01f;
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}
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float aspd_filt = _sp_filter.apply(aspd);
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// Constrained airspeed.
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const float minV = sqrtf(_polarParams.K/1.5);
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_aspd_filt_constrained = aspd_filt>minV ? aspd_filt : minV;
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tau = calculate_circling_time_constant(radians(thermal_bank));
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float dt = (float)(AP_HAL::micros64() - _prev_update_time)/1e6;
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// Logic borrowed from AP_TECS.cpp
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// Update and average speed rate of change
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// Get DCM
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const Matrix3f &rotMat = _ahrs.get_rotation_body_to_ned();
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// Calculate speed rate of change
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float temp = rotMat.c.x * GRAVITY_MSS + AP::ins().get_accel().x;
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// take 5 point moving average
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float dsp = _vdot_filter.apply(temp);
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// Now we need to high-pass this signal to remove bias.
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_vdotbias_filter.set_cutoff_frequency(1/(20*tau));
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float dsp_bias = _vdotbias_filter.apply(temp, dt);
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float dsp_cor = dsp - dsp_bias;
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Vector3f velned;
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float raw_climb_rate = 0.0f;
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if (_ahrs.get_velocity_NED(velned)) {
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// if possible use the EKF vertical velocity
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raw_climb_rate = -velned.z;
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}
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_climb_filter.set_cutoff_frequency(1/(3*tau));
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float smoothed_climb_rate = _climb_filter.apply(raw_climb_rate, dt);
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// Compute still-air sinkrate
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float roll = _ahrs.roll;
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float sinkrate = calculate_aircraft_sinkrate(roll);
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reading = raw_climb_rate + dsp_cor*_aspd_filt_constrained/GRAVITY_MSS + sinkrate;
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// Update filters.
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float filtered_reading = _trigger_filter.apply(reading, dt);
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_audio_filter.apply(reading, dt);
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_stf_filter.apply(reading, dt);
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_prev_update_time = AP_HAL::micros64();
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_expected_thermalling_sink = calculate_aircraft_sinkrate(radians(thermal_bank));
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// @LoggerMessage: VAR
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// @Vehicles: Plane
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// @Description: Variometer data
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// @Field: TimeUS: Time since system startup
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// @Field: aspd_raw: always zero
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// @Field: aspd_filt: filtered and constrained airspeed
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// @Field: alt: AHRS altitude
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// @Field: roll: AHRS roll
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// @Field: raw: estimated air vertical speed
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// @Field: filt: low-pass filtered air vertical speed
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// @Field: cl: raw climb rate
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// @Field: fc: filtered climb rate
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// @Field: exs: expected sink rate relative to air in thermalling turn
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// @Field: dsp: average acceleration along X axis
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// @Field: dspb: detected bias in average acceleration along X axis
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AP::logger().WriteStreaming("VAR", "TimeUS,aspd_raw,aspd_filt,alt,roll,raw,filt,cl,fc,exs,dsp,dspb", "Qfffffffffff",
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AP_HAL::micros64(),
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(double)0.0,
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(double)_aspd_filt_constrained,
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(double)alt,
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(double)roll,
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(double)reading,
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(double)filtered_reading,
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(double)_raw_climb_rate,
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(double)smoothed_climb_rate,
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(double)_expected_thermalling_sink,
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(double)dsp,
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(double)dsp_bias);
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}
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float Variometer::calculate_aircraft_sinkrate(float phi) const
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{
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// Remove aircraft sink rate
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float CL0; // CL0 = 2*W/(rho*S*V^2)
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float C1; // C1 = CD0/CL0
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float C2; // C2 = CDi0/CL0 = B*CL0
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CL0 = _polarParams.K / (_aspd_filt_constrained * _aspd_filt_constrained);
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C1 = _polarParams.CD0 / CL0; // constant describing expected angle to overcome zero-lift drag
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C2 = _polarParams.B * CL0; // constant describing expected angle to overcome lift induced drag at zero bank
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float cosphi = (1 - phi * phi / 2); // first two terms of mclaurin series for cos(phi)
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return _aspd_filt_constrained * (C1 + C2 / (cosphi * cosphi));
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}
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float Variometer::calculate_circling_time_constant(float thermal_bank) const
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{
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// Calculate a time constant to use to filter quantities over a full thermal orbit.
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// This is used for rejecting variation in e.g. climb rate, or estimated climb rate
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// potential, as the aircraft orbits the thermal.
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// Use the time to circle - variations at the circling frequency then have a gain of 25%
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// and the response to a step input will reach 64% of final value in three orbits.
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return 2*M_PI*_aspd_filt_constrained/(GRAVITY_MSS*tanf(thermal_bank));
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}
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