Neural Network Parameter Adjustment for Control Rules in Flight Control System

摘要：

　　To deal with the problem of parameter adjustment in flight control system,it is designed that parameter adjustment network based on the three-layer feedback neural network.With the self-train of network,the parameters of the network are gained,which realizes the dual parameters adjustment of the flight height h and Mach number Ma.Through simulation,control parameter optimization based on all characteristic points is ensured by the network.At the same time,the control parameters between all characteristic points is been grid,which makes flight control system stable even in the untrained characteristic points.Finally,each control parameter of flight and whole model of flight control system are computed out.

关键词： Parameter adjustment neural network dual parameters control rules characteristic points

作者: Jing Zhou Jun Tao

作者单位: School of Mathematics and Computer Science Jianghan University,Wuhan, Hubei, P.R.China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 1489-1492

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）