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LibrePilot/flight/modules/Airspeed/imu_airspeed.c

307 lines
12 KiB
C

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