程序调参飞行控制律的神经网络实现  

Neural Network Realization of Gain Scheduling Flight Control Law

作　　者：董新民[1] 

机构地区：[1]空军工程大学工程学院,西安710038

出　　处：《飞行力学》2000年第1期33-35,共3页Flight Dynamics

摘　　要：为保证飞行品质 ,现代飞机中多采用程序调参飞行控制律 ,由于调参规律的高度非线性 ,使得控制律的工程实现相当困难。为此 ,对程序调参飞行控制律的神经网络实现方法进行了研究。通过应用 BP神经网络逼近非线性调参规律 ,探讨了用 BP网络实现程序调参飞行控制律的一般方法 ,给出了网络的结构及其优化算法 ,并以某型飞机电传操纵系统倾斜阻尼通道的程序调参控制律为例 ,对该实现方法进行了验证。结果表明 。In this paper, the neural network realization method of gain scheduling flight control law is mainly studied. In order to obtain high flight qualities, gain scheduling control laws are widely used to adapt variations of dynamic models of airplanes in modern airplanes. Due to the high non linearity of gain scheduling functions, it is difficult to realize the control laws in engineering. BP neural network has outstanding abilities of processing nonlinear function. By using BP network to approach the gain scheduling function, the high non linearity is overcome in this paper. The network structure and optimal algorithm are given. By using 3 layer BP network, this kind of realization method is verified through its application in the damped lateral channel of an aircraft's fly by wire system, the average square error of network structure is smaller than 0.6%. The result shows that the realization precision is high enough for engineering application.

关 键 词：神经网络 飞行控制 电传操纵系统 程序调参控制 

分 类 号：V249.1[航空宇航科学与技术—飞行器设计] TP183[自动化与计算机技术—控制理论与控制工程]