mirror of https://github.com/ArduPilot/ardupilot
55 lines
1.8 KiB
Matlab
55 lines
1.8 KiB
Matlab
function [quat, states, Tbn, correctedDelAng, correctedDelVel] = PredictStates( ...
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quat, ... % previous quaternion states 4x1
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states, ... % previous states (3x1 rotation error, 3x1 velocity, 3x1 gyro bias)
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dAng, ... % IMU delta angles, 3x1 (rad)
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dVel, ... % IMU delta velocities 3x1 (m/s)
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dt) % time since last IMU measurement (sec)
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% Define parameters used for previous angular rates and acceleration shwich
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% are used for trapezoidal integration
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% define persistent variables for previous delta angle and velocity which
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% are required for sculling and coning error corrections
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persistent prevDelAng;
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if isempty(prevDelAng)
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prevDelAng = dAng;
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end
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persistent prevDelVel;
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if isempty(prevDelVel)
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prevDelVel = dVel;
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end
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% Remove sensor bias errors
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dAng = dAng - states(7:9);
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% Apply rotational and skulling corrections
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correctedDelVel= dVel + ...
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0.5*cross(prevDelAng + dAng , prevDelVel + dVel) + 1/6*cross(prevDelAng + dAng , cross(prevDelAng + dAng , prevDelVel + dVel)) + ... % rotational correction
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1/12*(cross(prevDelAng , dVel) + cross(prevDelVel , dAng)); % sculling correction
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% Apply corrections for coning errors
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correctedDelAng = dAng - 1/12*cross(prevDelAng , dAng);
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% Save current measurements
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prevDelAng = dAng;
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prevDelVel = dVel;
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% Convert the rotation vector to its equivalent quaternion
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deltaQuat = RotToQuat(correctedDelAng);
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% Update the quaternions by rotating from the previous attitude through
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% the delta angle rotation quaternion
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quat = QuatMult(quat,deltaQuat);
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% Normalise the quaternions
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quat = NormQuat(quat);
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% Calculate the body to nav cosine matrix
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Tbn = Quat2Tbn(quat);
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% transform body delta velocities to delta velocities in the nav frame
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delVelNav = Tbn * correctedDelVel + [0;0;9.807]*dt;
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% Sum delta velocities to get velocity
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states(4:6) = states(4:6) + delVelNav(1:3);
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end |