Mission Management And Fault Diagnosis Of Satellite Flying

Satellite flying is the hot point of researches in recent decade both domestically and abroad. Autonomic control of satellite flying is the guarantee of mission completion, and also the key technology in the satellite flying. In the thesis, both the mission management and fault diagnosis are discussed. Firstly, the Agent idea of AI is introduced into the Astronautics Field. With the background of autonomic control of satellite flying, Satellite-Agent idea is proposed. Based on the Agent idea, this thesis introduces the idea that strengthen the satellite intelligence, which designs the satellite flying as Multi-Agent System (MAS).Secondly, considering the characteristics of satellite flying mission, a mission management system is designed based on the Hierarchical Control idea and the satellite intelligent design. This system reduces the manual intervention and realizes a longtime independent mission management of satellite flying. Thirdly, based on the satellite fault diagnosis system, which is based on the expert system, the apprentice learning scheme of system self-learning is discussed, using the satellite intelligent design. The scheme improves the learning mechanism of old expert knowledge data base, and completes the design of the intelligent fault diagnosis system.Finally, the independent running of the satellite flying is simulated by the visual simulating software. All the ideas mentioned above have been proved realizable.The study of this thesis is useful for the realization of the satellite flying, and also for the intelligent design of aircraft.