基于自适应神经网络的飞行控制律设计方案  

Flight Control Law Scheme Based on Adaptive Neural Network

作　　者：朱铁夫[1] 李明[1] 邓建华[1] 

机构地区：[1]西北工业大学飞机系,陕西西安710072

出　　处：《飞行力学》2003年第3期25-27,31,共4页Flight Dynamics

摘　　要：介绍了一种自适应神经网络控制方法,利用李亚普诺夫稳定性定理推导了神经网络权值的自适应规律,保证了闭环系统的稳定性。设计了针对滚转通道的神经网络,并应用某型号飞机进行了非故障和故障状态的仿真。结果表明,自适应神经网络控制方法补偿作用显著,相当于系统具有一定的重构功能。This paper describes an approach of adaptive neural network control. An adaptive weight adjustment rule which guarantees closed loop stability is derived from the Lyapunov stability theorem. In this paper, we design a neural network structure for roll channel control. According to the simulation in the failure and unfailure condition of a certain type fighter aircraft, we can get that the compensation of this approach to the control system is notable. It is equal to say that the control system is reconfigurable in a sense. 

关 键 词：自适应神经网络 飞行控制律 设计 非线性飞行控制 飞机 李亚普诺夫稳定性原理 

分 类 号：V249.1[航空宇航科学与技术—飞行器设计]