摘要
介绍了一种通过神经网络在线进行飞行控制重构的方案。本文以非线性动态逆方法为基本控制律,通过设计的自适应神经网络,实时补偿因操纵面故障而引起的逆误差。最后的仿真结果表明,该方案是可行的。
This paper introduces a neural network reconfigurable control for civil aircraft. The control law is based on the nonlinear dynamic inversion, and the neural network is used to cancel the inversion error induced by aircraft actuator failures. Simulation shows that this method is feasible.
出处
《自动化技术与应用》
2007年第7期4-6,共3页
Techniques of Automation and Applications
关键词
重构控制
神经网络
动态逆
加权伪逆
飞行控制
reconfigurable control
neural network
dynamic inversion
weighted pseudo-inverse：
flight control
