摘要
神经网络有很强的自学习功能，将它用于飞行控制系统调参可以收到比较满意的效果。本文基于反向传播网络的研究，给出了神经网络进行控制器参数选择的方法及网络学习算法，讨论了神经网络学习样本的选取方法及整个系统在飞行控制系统控制器参数设计过程中的运行步骤。通过实际设计验证。
Artificial neural network (ANN) has a great capability of self learning. The application of neural network to flight controller design can get good result. This paper studies the method of choosing controller parameters using neural network with Back Propagation (B P) algorithm. Design and simulation results show that this method can be used in flight control system design.
关键词
神经网络
反向传播
飞行控制系统
反馈
飞行包线
neural network
back propagation
flight control systems
feedback
flight envelope
