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9ae9c87574
Uploaded here for now - belongs in GCS probably. git-svn-id: svn://svn.openpilot.org/OpenPilot/trunk@1310 ebee16cc-31ac-478f-84a7-5cbb03baadba
145 lines
4.8 KiB
C
145 lines
4.8 KiB
C
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/**
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******************************************************************************
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*
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* @file MagOrAccelSensorCal.c
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* @author The OpenPilot Team, http://www.openpilot.org Copyright (C) 2010.
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* @brief 3 axis sensor cal from six measurements taken in a constant field.
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* Call SixPointInConstFieldCal(FieldMagnitude, X, Y, Z, S, b)
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* - FieldMagnitude is the constant field, e.g. 9.81 for accels
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* - X, Y, Z are vectors of six measurements from different orientations
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* - returns, S[3] and b[3], that are the scale and offsett for the axes
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* - i.e. Measurementx = S[0]*Sensorx + b[0]
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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 <math.h>
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#include "stdint.h"
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//Function Prototypes
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int16_t SixPointInConstFieldCal( double ConstMag, double x[6], double y[6], double z[6], double S[3], double b[3]);
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int16_t LinearEquationsSolving(int16_t nDim, double* pfMatr, double* pfVect, double* pfSolution);
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int16_t SixPointInConstFieldCal( double ConstMag, double x[6], double y[6], double z[6], double S[3], double b[3] )
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{
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int16_t i;
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double A[5][5];
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double f[5], c[5];
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double xp, yp, zp, Sx;
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// Fill in matrix A -
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// write six difference-in-magnitude equations of the form
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// Sx^2(x2^2-x1^2) + 2*Sx*bx*(x2-x1) + Sy^2(y2^2-y1^2) + 2*Sy*by*(y2-y1) + Sz^2(z2^2-z1^2) + 2*Sz*bz*(z2-z1) = 0
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// or in other words
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// 2*Sx*bx*(x2-x1)/Sx^2 + Sy^2(y2^2-y1^2)/Sx^2 + 2*Sy*by*(y2-y1)/Sx^2 + Sz^2(z2^2-z1^2)/Sx^2 + 2*Sz*bz*(z2-z1)/Sx^2 = (x1^2-x2^2)
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for (i=0;i<5;i++){
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A[i][0] = 2.0 * (x[i+1] - x[i]);
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A[i][1] = y[i+1]*y[i+1] - y[i]*y[i];
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A[i][2] = 2.0 * (y[i+1] - y[i]);
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A[i][3] = z[i+1]*z[i+1] - z[i]*z[i];
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A[i][4] = 2.0 * (z[i+1] - z[i]);
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f[i] = x[i]*x[i] - x[i+1]*x[i+1];
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}
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// solve for c0=bx/Sx, c1=Sy^2/Sx^2; c2=Sy*by/Sx^2, c3=Sz^2/Sx^2, c4=Sz*bz/Sx^2
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if ( !LinearEquationsSolving( 5, (double *)A, f, c) ) return 0;
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// use one magnitude equation and c's to find Sx - doesn't matter which - all give the same answer
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xp = x[0]; yp = y[0]; zp = z[0];
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Sx = sqrt(ConstMag*ConstMag / (xp*xp + 2*c[0]*xp + c[0]*c[0] + c[1]*yp*yp + 2*c[2]*yp + c[2]*c[2]/c[1] + c[3]*zp*zp + 2*c[4]*zp + c[4]*c[4]/c[3]));
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S[0] = Sx;
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b[0] = Sx*c[0];
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S[1] = sqrt(c[1]*Sx*Sx);
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b[1] = c[2]*Sx*Sx/S[1];
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S[2] = sqrt(c[3]*Sx*Sx);
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b[2] = c[4]*Sx*Sx/S[2];
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return 1;
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}
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//*****************************************************************
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int16_t LinearEquationsSolving(int16_t nDim, double* pfMatr, double* pfVect, double* pfSolution)
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{
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double fMaxElem;
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double fAcc;
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int16_t i , j, k, m;
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for(k=0; k<(nDim-1); k++) // base row of matrix
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{
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// search of line with max element
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fMaxElem = fabs( pfMatr[k*nDim + k] );
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m = k;
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for(i=k+1; i<nDim; i++)
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{
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if(fMaxElem < fabs(pfMatr[i*nDim + k]) )
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{
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fMaxElem = pfMatr[i*nDim + k];
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m = i;
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}
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}
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// permutation of base line (index k) and max element line(index m)
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if(m != k)
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{
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for(i=k; i<nDim; i++)
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{
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fAcc = pfMatr[k*nDim + i];
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pfMatr[k*nDim + i] = pfMatr[m*nDim + i];
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pfMatr[m*nDim + i] = fAcc;
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}
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fAcc = pfVect[k];
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pfVect[k] = pfVect[m];
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pfVect[m] = fAcc;
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}
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if( pfMatr[k*nDim + k] == 0.) return 0; // needs improvement !!!
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// triangulation of matrix with coefficients
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for(j=(k+1); j<nDim; j++) // current row of matrix
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{
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fAcc = - pfMatr[j*nDim + k] / pfMatr[k*nDim + k];
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for(i=k; i<nDim; i++)
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{
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pfMatr[j*nDim + i] = pfMatr[j*nDim + i] + fAcc*pfMatr[k*nDim + i];
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}
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pfVect[j] = pfVect[j] + fAcc*pfVect[k]; // free member recalculation
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}
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}
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for(k=(nDim-1); k>=0; k--)
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{
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pfSolution[k] = pfVect[k];
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for(i=(k+1); i<nDim; i++)
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{
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pfSolution[k] -= (pfMatr[k*nDim + i]*pfSolution[i]);
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}
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pfSolution[k] = pfSolution[k] / pfMatr[k*nDim + k];
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}
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return 1;
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}
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