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900780e10c
the gains on acceleration and velocity feedback terms (they are a problem when biased).
107 lines
3.0 KiB
Matlab
107 lines
3.0 KiB
Matlab
baro = fixTime(BaroAltitude);
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accel = fixTime(Accels);
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attitude = fixTime(AttitudeActual);
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%accel.z(end/2:end) = accel.z(end/2:end) + 1;
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accel.z = accel.z+2;
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Gamma = diag([1e-15 1e-15 1e-3 1e-5]); % state noise
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accel_sigma = 10;
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baro_sigma = 0.1;
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Nu = diag([10 10 10 1000]);
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z = zeros(length(accel.z),4);
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Nu_n = zeros([4 4 length(accel.z)]);
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Nu_n(:,:,1) = Nu;
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t = max(accel.timestamp(1), baro.timestamp(1));
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last_t = t-1;
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last_accel_idx = 1;
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last_baro_idx = 1;
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i = 1;
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timestamp = [];
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z(1) = baro.Altitude(1);
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z(1:5,4) = 0;
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timestamp(1) = t;
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log_accel = 0;
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while (last_accel_idx + 1) <= length(accel.z) && (last_baro_idx + 1) <= length(baro.Altitude)
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update_baro = baro.timestamp(last_baro_idx + 1) < t;
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update_accel = accel.timestamp(last_accel_idx + 1) < t;
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if 0 && update_accel
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[~,idx] = min(abs(attitude.timestamp - accel.timestamp(last_accel_idx+1)));
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Rbe = Quat2Rbe([attitude.q1(idx), attitude.q2(idx), attitude.q3(idx), attitude.q4(idx)]);
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idx = last_accel_idx + 1;
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accel_ned = Rbe * [accel.x(idx); accel.y(idx); accel.z(idx)];
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accel_ned = accel_ned(3);
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% if(abs(accel_ned) < 1e-1)
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% keyboard
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% end
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else
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accel_ned = accel.z(last_accel_idx + 1);
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end
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log_accel(i) = accel_ned;
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if update_baro && update_accel;
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x = [baro.Altitude(last_baro_idx + 1); -accel_ned-9.81];
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last_baro_idx = last_baro_idx + 1;
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last_accel_idx = last_accel_idx + 1;
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C = [1 0 0 0; 0 0 1 1];
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Sigma = diag([baro_sigma; accel_sigma]);
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elseif update_accel
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x = -accel_ned - 9.81;
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last_accel_idx = last_accel_idx + 1;
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C = [0 0 1 1];
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Sigma = [accel_sigma];
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elseif update_baro
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x = [baro.Altitude(last_baro_idx + 1)];
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last_baro_idx = last_baro_idx + 1;
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C = [1 0 0 0];
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Sigma = [baro_sigma];
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else
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% Take a timestep and look for advance
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t = t + 0.1;
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continue;
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end
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%[last_baro_idx last_accel_idx]
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t = max(baro.timestamp(last_baro_idx), accel.timestamp(last_accel_idx));
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dT = (t - last_t) / 1000;
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if(dT == 0)
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dT = 1.5 / 1000;
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end
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assert(dT ~= 0,'WTF');
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last_t = t;
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i = i + 1;
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A = [1 dT 0 0; 0 1 dT 0; 0 0 1 0; 0 0 0 1];
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P = A * Nu * A' + Gamma;
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K = P*C'*(C*P*C'+Sigma)^-1;
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z(i,:) = A * z(i-1,:)' + K * (x - C * A * z(i-1,:)');
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timestamp(i) = t;
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Nu = (eye(4) - K * C) * P;
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Nu_n(:,:,i) = Nu;
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if mod(i,10000) == 0
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subplot(311)
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plot(baro.timestamp, baro.Altitude, '.', timestamp(1:i),z(1:i,1),'r','LineWidth',5)
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subplot(312)
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plot(timestamp(1:i),z(1:i,2),'k')
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subplot(313)
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plot(timestamp(1:i),z(1:i,3),'k');
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xlim(timestamp([1,i]))
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drawnow
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end
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end
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subplot(311)
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plot(baro.timestamp, baro.Altitude, '.', timestamp(1:i),z(1:i,1),'r','LineWidth',5)
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subplot(312)
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plot(timestamp(1:i),z(1:i,2),'k')
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subplot(313)
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plot(timestamp(1:i),z(1:i,3),'k');
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xlim(timestamp([1,i]))
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