A hybrid attitude determination method that combines MEMS inertial measurement unit and close-loop tracking information is proposed for broadband mobile satellite communication to solve the problem that the existing low cost MEMS inertial sensors are hard to meet the pointing requirements during the vehicle maneuver. A heading pointing error deduced by tracking is used to correct the drift of the heading gyro by a proportional-integral(PI)controller
and the heading angle is estimated as the sum of the high pass filtered gyro output and the low pass filtered tracking heading output. Modified Euler angles are used as state variables
and the state equation and measurement equation are respectively built from the angular output of gyros and the gravity output of accelerometers. The filter recognizes the situation of dynamic condition with heading angular rate and pitch error to make the filter more robust regarding acceleration disturbances
and modifies the measurement covariance matrix to estimate the tilt based on gyros under varying vehicle dynamics. Experimental results show that the proposed method has a higher precision than the conventional AKF method in dynamic mode
and the errors are less than 0.8 degree in heading and 0.5 degree in tilt
which is feasible for attitude stabilization of broadband mobile satellite communication.
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references
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