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神经网络在转台控制系统设计中的应用
引用本文:宋申民,陈兴林,段广仁,张松波.神经网络在转台控制系统设计中的应用[J].系统仿真学报,2004,16(4):647-650,659.
作者姓名:宋申民  陈兴林  段广仁  张松波
作者单位:1. 哈尔滨工业大学控制科学与工程系,哈尔滨,150001
2. 黑龙江省水利专科学校,哈尔滨,150001
摘    要:针对三轴飞行仿真转台中环电液伺服系统的非线性、参数时变性以及转台的快速性要求,给出了一种具有并行结构的单个神经元PID模型参考自适应控制方法。其中环利用神经网络逼近被控对象,控制器采用单个神经元PID。仿真结果表明该方法满足系统快速性的要求,并具有较好的鲁棒性。

关 键 词:电液伺服系统  系统辨识  自适应控制  神经网络
文章编号:1004-731X(2004)04-0647-04

Application of Neural Networks for Design of Control System of the Simulator
SONG Shen-min,CHEN Xing-lin,DUAN Guang-ren,ZHANG Song-bo.Application of Neural Networks for Design of Control System of the Simulator[J].Journal of System Simulation,2004,16(4):647-650,659.
Authors:SONG Shen-min  CHEN Xing-lin  DUAN Guang-ren  ZHANG Song-bo
Institution:SONG Shen-min1,CHEN Xing-lin1,DUAN Guang-ren1,ZHANG Song-bo2
Abstract:In this paper, for the nonlinearity and time variable parameters characteristic of the middle frame electrohydraulic servo system of three-axle flight simulator and the speediness request, a new approach of single nerve cell PID model reference adaptive control design with parallel structure is addressed. The middle frame plant is approximated by Neural Networks and single nerve cell is adopted as the controller. The simulation results show that this approach satisfies the speediness request of simulator and has good robustness.
Keywords:electrohydraulic servo system  adaptive control  system identification  neural networks  
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