| Since the technology of intelligent control was first used in the spacecraft in the 60's 20th century by JPL laboratory, the high performance of spacecraft autonomy has been one of the important goals pursued by the spacecraft designing engineer. Multi-sensor fusion theory is the important part of the autonomy control technology. This dissertation mainly studies information fusion estimation theory and its application to spacecraft control; automatic diagnosis and system recovery; strap-down attitude algorithm of fiber optic gyro and its error propagation. The major researching contents are summarized as follows:1. Based on the information fusion estimation theory, various information fusion structures and their algorithm are summarized. Use the traditional Kalman filter algorithm and optimal linear fusion theory to export the centralized and the decentralized algorithm, then, analyze the strongpoint and the defect of various structures.2. Introduce the traditional two samples rotation vector algorithm and three samples rotation vector algorithm, which fit the incremental angular condition. But, the output of fiber optic gyro is angular rate of the vehicle, the error would increase serious if use traditional algorithm. So, a new algorithm is proposed in this thesis, it is proved that the new algorithm can reach satisfactory result by analysis.3. Carry out the simulation of the Kalman filter based on the GPS/magnetometer attitude determination system and the INS/CNS/ infrared earth sensors attitude determination system. The results show that it can improve attitude determination accuracy by fusion theory.4. Analyze the fault-detection method for multi-sensor, include fault-detection theory of redundance sensors, special observation state technology and hierarchic multi-model filter detection technology which is proved effective for soft-fault detection by simulation. At last, give a kind of system reconstruction tactic based on hierarchic alliance structure of federal filters.
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