基于神经网络的模型参考自修复飞行控制

提出了一种基于模糊神经网络的模型参考自修复飞行控制结构,并对所使用的BP网络学习算法进行了分析改进.对比非故障和故障状态下的飞行仿真结果表明,改进后的自修复飞行控制方法可以有效地抑制神经网络的"过学习"现象,减小了对神经网络辨识器精度的依赖程度,在故障条件下的补偿作用非常明显,达到了自修复飞行控制的目的.

A Model Reference Self-repairing Flight Control Method based on Fuzzy Neural Network

This paper presents a model reference self-repairing flight control structure based on fuzzy neural network,moreover analyzes and improves the BP network learning airthmetic.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.