mirror of https://github.com/ArduPilot/ardupilot
78 lines
3.0 KiB
Matlab
78 lines
3.0 KiB
Matlab
%% Set initial conditions
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clear all;
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dt = 1/100;
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duration = 10;
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indexLimit = round(duration/dt);
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statesLog = zeros(10,indexLimit);
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eulLog = zeros(4,indexLimit);
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velInnovLog = zeros(4,indexLimit);
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decInnovLog = zeros(2,indexLimit);
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velInnovVarLog = velInnovLog;
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decInnovVarLog = decInnovLog;
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angErrLog = zeros(2,indexLimit);
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% Use a random initial orientation
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quatTruth = [rand;randn;randn;randn];
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quatLength = sqrt(quatTruth(1)^2 + quatTruth(2)^2 + quatTruth(3)^2 + quatTruth(4)^2);
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quatTruth = quatTruth / quatLength;
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TbnTruth = Quat2Tbn(quatTruth);
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% initialise the filter to level
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quat = [1;0;0;0];
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states = zeros(9,1);
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Tbn = Quat2Tbn(quat);
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% define the earths truth magnetic field
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magEarthTruth = [0.3;0.1;-0.5];
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% define the assumed declination using th etruth field plus location
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% variation
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measDec = atan2(magEarthTruth(2),magEarthTruth(1)) + 2*pi/180*randn;
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% define the magnetometer bias errors
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magMeasBias = 0.02*[randn;randn;randn];
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% define the state covariances with the exception of the quaternion covariances
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Sigma_velNED = 0.5; % 1 sigma uncertainty in horizontal velocity components
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Sigma_dAngBias = 1*pi/180*dt; % 1 Sigma uncertainty in delta angle bias
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Sigma_angErr = 1; % 1 Sigma uncertainty in angular misalignment (rad)
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covariance = single(diag([Sigma_angErr*[1;1;1];Sigma_velNED*[1;1;1];Sigma_dAngBias*[1;1;1]].^2));
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%% Main Loop
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headingAligned=0;
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time = 0;
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for index = 1:indexLimit
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time=time+dt;
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% synthesise IMU measurements
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angRate = 0*[randn;randn;randn];
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accel = 0*[randn;randn;randn] + transpose(TbnTruth)*[0;0;-9.81];
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% predict states
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[quat, states, Tbn, delAng, delVel] = PredictStates(quat,states,angRate,accel,dt);
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statesLog(1,index) = time;
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statesLog(2:10,index) = states;
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eulLog(1,index) = time;
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eulLog(2:4,index) = QuatToEul(quat);
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% predict covariance matrix
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covariance = PredictCovariance(delAng,delVel,quat,states,covariance,dt);
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% synthesise velocity measurements
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measVel = [0;0;0];
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% fuse velocity measurements
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[quat,states,angErr,covariance,velInnov,velInnovVar] = FuseVelocity(quat,states,covariance,measVel);
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velInnovLog(1,index) = time;
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velInnovLog(2:4,index) = velInnov;
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velInnovVarLog(1,index) = time;
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velInnovVarLog(2:4,index) = velInnovVar;
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angErrLog(1,index) = time;
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angErrLog(2,index) = angErr;
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% synthesise magnetometer measurements adding sensor bias
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magBody = transpose(TbnTruth)*magEarthTruth + magMeasBias;
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% fuse magnetometer measurements
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if (index > 500 && headingAligned==0 && angErr < 1e-4)
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quat = AlignHeading(quat,magBody,measDec);
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headingAligned = 1;
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end
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if (headingAligned == 1)
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[quat,states,covariance,decInnov,decInnovVar] = FuseMagnetometer(quat,states,covariance,magBody,measDec,Tbn);
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decInnovLog(1,index) = time;
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decInnovLog(2,index) = decInnov;
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decInnovVarLog(1,index) = time;
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decInnovVarLog(2,index) = decInnovVar;
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end
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end
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%% Generate Plots
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PlotData; |