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307 lines
12 KiB
C
307 lines
12 KiB
C
/**
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******************************************************************************
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* @addtogroup OpenPilotModules OpenPilot Modules
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* @{
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* @addtogroup AirspeedModule Airspeed Module
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* @brief Use attitude and velocity data to estimate airspeed
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* @{
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*
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* @file imu_airspeed.c
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* @author The OpenPilot Team, http://www.openpilot.org Copyright (C) 2012.
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* @brief IMU based airspeed calculation
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*
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* @see The GNU Public License (GPL) Version 3
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*
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*****************************************************************************/
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/*
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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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*
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* This program is distributed in the hope that it will be useful, but
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* WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
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* or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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* for more details.
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*
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* You should have received a copy of the GNU General Public License along
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* with this program; if not, write to the Free Software Foundation, Inc.,
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* 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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*/
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#include "openpilot.h"
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#include "velocitystate.h"
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#include "attitudestate.h"
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#include "airspeedsensor.h"
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#include "airspeedsettings.h"
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#include "imu_airspeed.h"
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#include "CoordinateConversions.h"
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#include "butterworth.h"
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#include <pios_math.h>
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// Private constants
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#define EPS 1e-6f
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#define EPS_REORIENTATION 1e-10f
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#define EPS_VELOCITY 1.f
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// Private types
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// structure with smoothed fuselage orientation, ground speed, wind vector and their changes in time
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struct IMUGlobals {
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// Butterworth filters
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struct ButterWorthDF2Filter filter;
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struct ButterWorthDF2Filter prefilter;
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float ff, ffV;
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// storage variables for Butterworth filter
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float pn1, pn2;
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float yn1, yn2;
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float v1n1, v1n2;
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float v2n1, v2n2;
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float v3n1, v3n2;
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float Vw1n1, Vw1n2;
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float Vw2n1, Vw2n2;
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float Vw3n1, Vw3n2;
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float Vw1, Vw2, Vw3;
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// storage variables for derivative calculation
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float pOld, yOld;
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float v1Old, v2Old, v3Old;
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};
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// Private variables
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static struct IMUGlobals *imu;
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// Private functions
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// a simple square inline function based on multiplication faster than powf(x,2.0f)
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static inline float Sq(float x)
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{
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return x * x;
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}
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// ****** find pitch, yaw from quaternion ********
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static void Quaternion2PY(const float q0, const float q1, const float q2, const float q3, float *pPtr, float *yPtr, bool principalArg)
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{
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float R13, R11, R12;
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const float q0s = q0 * q0;
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const float q1s = q1 * q1;
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const float q2s = q2 * q2;
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const float q3s = q3 * q3;
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R13 = 2.0f * (q1 * q3 - q0 * q2);
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R11 = q0s + q1s - q2s - q3s;
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R12 = 2.0f * (q1 * q2 + q0 * q3);
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*pPtr = asinf(-R13); // pitch always between -pi/2 to pi/2
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const float y_ = atan2f(R12, R11);
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// use old yaw contained in y to add multiples of 2pi to have a continuous yaw if user does not want the principal argument
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// else simply copy atan2 result into result
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if (principalArg) {
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*yPtr = y_;
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} else {
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// calculate needed mutliples of 2pi to avoid jumps
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// number of cycles accumulated in old yaw
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const int32_t cycles = (int32_t)(*yPtr / M_2PI_F);
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// look for a jump by substracting the modulus, i.e. there is maximally one jump.
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// take slightly less than 2pi, because the jump will always be lower than 2pi
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const int32_t mod = (int32_t)((y_ - (*yPtr - cycles * M_2PI_F)) / (M_2PI_F * 0.8f));
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*yPtr = y_ + M_2PI_F * (cycles - mod);
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}
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}
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static void PY2xB(const float p, const float y, float x[3])
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{
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const float cosp = cosf(p);
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x[0] = cosp * cosf(y);
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x[1] = cosp * sinf(y);
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x[2] = -sinf(p);
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}
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static void PY2DeltaxB(const float p, const float y, const float xB[3], float x[3])
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{
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const float cosp = cosf(p);
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x[0] = xB[0] - cosp * cosf(y);
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x[1] = xB[1] - cosp * sinf(y);
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x[2] = xB[2] - -sinf(p);
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}
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/*
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* Initialize function loads first data sets, and allocates memory for structure.
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*/
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void imu_airspeedInitialize(const AirspeedSettingsData *airspeedSettings)
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{
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// pre-filter frequency rate
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const float ff = (float)(airspeedSettings->SamplePeriod) / 1000.0f / airspeedSettings->IMUBasedEstimationLowPassPeriod1;
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// filter frequency rate
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const float ffV = (float)(airspeedSettings->SamplePeriod) / 1000.0f / airspeedSettings->IMUBasedEstimationLowPassPeriod2;
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// This method saves memory in case we don't use the module.
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imu = (struct IMUGlobals *)pios_malloc(sizeof(struct IMUGlobals));
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// airspeed calculation variables
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VelocityStateInitialize();
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VelocityStateData velData;
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VelocityStateGet(&velData);
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AttitudeStateData attData;
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AttitudeStateGet(&attData);
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// initialize filters for given ff and ffV
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InitButterWorthDF2Filter(ffV, &(imu->filter));
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InitButterWorthDF2Filter(ff, &(imu->prefilter));
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imu->ffV = ffV;
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imu->ff = ff;
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// get pitch and yaw from quarternion; principal argument for yaw
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Quaternion2PY(attData.q1, attData.q2, attData.q3, attData.q4, &(imu->pOld), &(imu->yOld), true);
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InitButterWorthDF2Values(imu->pOld, &(imu->prefilter), &(imu->pn1), &(imu->pn2));
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InitButterWorthDF2Values(imu->yOld, &(imu->prefilter), &(imu->yn1), &(imu->yn2));
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// use current NED speed as vOld vector and as initial value for filter
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imu->v1Old = velData.North;
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imu->v2Old = velData.East;
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imu->v3Old = velData.Down;
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InitButterWorthDF2Values(imu->v1Old, &(imu->prefilter), &(imu->v1n1), &(imu->v1n2));
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InitButterWorthDF2Values(imu->v2Old, &(imu->prefilter), &(imu->v2n1), &(imu->v2n2));
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InitButterWorthDF2Values(imu->v3Old, &(imu->prefilter), &(imu->v3n1), &(imu->v3n2));
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// initial guess for windspeed is zero
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imu->Vw3 = imu->Vw2 = imu->Vw1 = 0.0f;
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InitButterWorthDF2Values(0.0f, &(imu->filter), &(imu->Vw1n1), &(imu->Vw1n2));
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imu->Vw3n1 = imu->Vw2n1 = imu->Vw1n1;
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imu->Vw3n2 = imu->Vw2n2 = imu->Vw1n2;
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}
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/*
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* Calculate airspeed as a function of groundspeed and vehicle attitude.
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* Adapted from "IMU Wind Estimation (Theory)", by William Premerlani.
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* The idea is that V_gps=V_air+V_wind. If we assume wind constant, =>
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* V_gps_2-V_gps_1 = (V_air_2+V_wind_2) -(V_air_1+V_wind_1) = V_air_2 - V_air_1.
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* If we assume airspeed constant, => V_gps_2-V_gps_1 = |V|*(f_2 - f1),
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* where "f" is the fuselage vector in earth coordinates.
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* We then solve for |V| = |V_gps_2-V_gps_1|/ |f_2 - f1|.
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* Adapted to: |V| = (V_gps_2-V_gps_1) dot (f2_-f_1) / |f_2 - f1|^2.
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*
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* See OP-1317 imu_wind_estimation.pdf for details on the adaptation
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* Need a low pass filter to filter out spikes in non coordinated maneuvers
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* A two step Butterworth second order filter is used. In the first step fuselage vector xB
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* and ground speed vector Vel are filtered. The fuselage vector is filtered through its pitch
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* and yaw to keep a unit length. After building the differenced dxB and dVel are produced and
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* the airspeed calculated. The calculated airspeed is filtered again with a Butterworth filter
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*/
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void imu_airspeedGet(AirspeedSensorData *airspeedData, const AirspeedSettingsData *airspeedSettings)
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{
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// pre-filter frequency rate
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const float ff = (float)(airspeedSettings->SamplePeriod) / 1000.0f / airspeedSettings->IMUBasedEstimationLowPassPeriod1;
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// filter frequency rate
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const float ffV = (float)(airspeedSettings->SamplePeriod) / 1000.0f / airspeedSettings->IMUBasedEstimationLowPassPeriod2;
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// check for a change in filter frequency rate. if yes, then actualize filter constants and intermediate values
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if (fabsf(ffV - imu->ffV) > EPS) {
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InitButterWorthDF2Filter(ffV, &(imu->filter));
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InitButterWorthDF2Values(imu->Vw1, &(imu->filter), &(imu->Vw1n1), &(imu->Vw1n2));
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InitButterWorthDF2Values(imu->Vw2, &(imu->filter), &(imu->Vw2n1), &(imu->Vw2n2));
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InitButterWorthDF2Values(imu->Vw3, &(imu->filter), &(imu->Vw3n1), &(imu->Vw3n2));
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}
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if (fabsf(ff - imu->ff) > EPS) {
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InitButterWorthDF2Filter(ff, &(imu->prefilter));
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InitButterWorthDF2Values(imu->pOld, &(imu->prefilter), &(imu->pn1), &(imu->pn2));
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InitButterWorthDF2Values(imu->yOld, &(imu->prefilter), &(imu->yn1), &(imu->yn2));
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InitButterWorthDF2Values(imu->v1Old, &(imu->prefilter), &(imu->v1n1), &(imu->v1n2));
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InitButterWorthDF2Values(imu->v2Old, &(imu->prefilter), &(imu->v2n1), &(imu->v2n2));
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InitButterWorthDF2Values(imu->v3Old, &(imu->prefilter), &(imu->v3n1), &(imu->v3n2));
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}
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float normVel2;
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float normDiffAttitude2;
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float dvdtDotdfdt;
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float xB[3];
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// get values and conduct smoothing of ground speed and orientation independently of the calculation of airspeed
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{ // Scoping to save memory
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AttitudeStateData attData;
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AttitudeStateGet(&attData);
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VelocityStateData velData;
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VelocityStateGet(&velData);
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float p = imu->pOld, y = imu->yOld;
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float dxB[3];
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// get pitch and roll Euler angles from quaternion
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// do not calculate the principlal argument of yaw, i.e. use old yaw to add multiples of 2pi to have a continuous yaw
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Quaternion2PY(attData.q1, attData.q2, attData.q3, attData.q4, &p, &y, false);
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// filter pitch and roll Euler angles instead of fuselage vector to guarantee a unit length at all times
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p = FilterButterWorthDF2(p, &(imu->prefilter), &(imu->pn1), &(imu->pn2));
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y = FilterButterWorthDF2(y, &(imu->prefilter), &(imu->yn1), &(imu->yn2));
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// transform pitch and yaw into fuselage vector xB and xBold
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PY2xB(p, y, xB);
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// calculate change in fuselage vector by substraction of old value
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PY2DeltaxB(imu->pOld, imu->yOld, xB, dxB);
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// filter ground speed from VelocityState
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const float fv1n = FilterButterWorthDF2(velData.North, &(imu->prefilter), &(imu->v1n1), &(imu->v1n2));
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const float fv2n = FilterButterWorthDF2(velData.East, &(imu->prefilter), &(imu->v2n1), &(imu->v2n2));
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const float fv3n = FilterButterWorthDF2(velData.Down, &(imu->prefilter), &(imu->v3n1), &(imu->v3n2));
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// calculate norm of ground speed
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normVel2 = Sq(fv1n) + Sq(fv2n) + Sq(fv3n);
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// calculate norm of orientation change
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normDiffAttitude2 = Sq(dxB[0]) + Sq(dxB[1]) + Sq(dxB[2]);
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// cauclate scalar product between groundspeed change and orientation change
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dvdtDotdfdt = (fv1n - imu->v1Old) * dxB[0] + (fv2n - imu->v2Old) * dxB[1] + (fv3n - imu->v3Old) * dxB[2];
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// actualise old values
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imu->pOld = p;
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imu->yOld = y;
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imu->v1Old = fv1n;
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imu->v2Old = fv2n;
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imu->v3Old = fv3n;
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}
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// Some reorientation needed to be able to calculate airspeed, calculate only for sufficient velocity
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// a negative scalar product is a clear sign that we are not really able to calculate the airspeed
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// NOTE: normVel2 check against EPS_VELOCITY might make problems during hovering maneuvers in fixed wings
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if (normDiffAttitude2 > EPS_REORIENTATION && normVel2 > EPS_VELOCITY && dvdtDotdfdt > 0.f) {
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// Airspeed modulus: |v| = dv/dt * dxB/dt / |dxB/dt|^2
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// airspeed is always REAL because normDiffAttitude2 > EPS_REORIENTATION > 0 and REAL dvdtDotdfdt
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const float airspeed = dvdtDotdfdt / normDiffAttitude2;
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// groundspeed = airspeed + wind ---> wind = groundspeed - airspeed
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const float wind[3] = { imu->v1Old - xB[0] * airspeed,
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imu->v2Old - xB[1] * airspeed,
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imu->v3Old - xB[2] * airspeed };
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// filter raw wind
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imu->Vw1 = FilterButterWorthDF2(wind[0], &(imu->filter), &(imu->Vw1n1), &(imu->Vw1n2));
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imu->Vw2 = FilterButterWorthDF2(wind[1], &(imu->filter), &(imu->Vw2n1), &(imu->Vw2n2));
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imu->Vw3 = FilterButterWorthDF2(wind[2], &(imu->filter), &(imu->Vw3n1), &(imu->Vw3n2));
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} // else leave wind estimation unchanged
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{ // Scoping to save memory
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// airspeed = groundspeed - wind
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const float Vair[3] = {
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imu->v1Old - imu->Vw1,
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imu->v2Old - imu->Vw2,
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imu->v3Old - imu->Vw3
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};
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// project airspeed into fuselage vector
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airspeedData->CalibratedAirspeed = Vair[0] * xB[0] + Vair[1] * xB[1] + Vair[2] * xB[2];
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}
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airspeedData->SensorConnected = AIRSPEEDSENSOR_SENSORCONNECTED_TRUE;
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AlarmsClear(SYSTEMALARMS_ALARM_AIRSPEED);
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}
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/**
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* @}
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* @}
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*/
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