Neural Network Based Model Reference Self-repairing Flight Control Theory And Simulation Software Development

The technique of reconfigurable flight control system can obviously enhance the survival ability and mission effectiveness of the aerocraft, and it has become one of the attractive research subjects in modern aerocraft integration design area. Firstly, this paper reviews the history and current state about the development of the reconfigurable flight control technique, then presents and analyses the model reference self-repairing flight control technique based on fuzzy neural network. Based on it, the paper presents an improved model reference self-repairing flight control method based on fuzzy neural network, moreover analyzes and improves the BP network learning arithmetic, and develops the simulated software. The comparison of the flight simulation in the failure and unfailure condition indicates that the improved self-repairing flight control method can effectively reduce the "over-learning" phenomenon of neural network and the dependence on the precision of neural network identifying system. And the compensation effect in the failure condition is notable, so it achieves the aim of self-repairing flight control, and holds a pleasant outlook.