不稳定时滞过程的神经网络内模控制方法  

Method of Neural Network Internal Model Control in Unstable Time-lag Process

作　　者：刘琪[1] 刘伟[1] 

机构地区：[1]周口师范学院物理与电子工程系,周口466001

出　　处：《科学技术与工程》2013年第3期621-624,共4页Science Technology and Engineering

基　　金：河南省科技计划基础前沿项目(122300410168);河南省教育厅自然科学研究计划项目(2011B510021);周口师范学院青年科研基金项目(2012QNA02)资助

摘　　要：不稳定时滞过程在过程工业中较为常见,常规方法难以控制。提出了一种双反馈环控制方法,首先采用内部反馈镇定,然后采用神经网络构造内模控制系统,解决了模型与实际过程存在偏差、不稳定性等问题。仿真结果调节时间短,控制精度高,表明了神经网络内模控制方法的有效性和优越性。The phenomenon of unstable time-lag process is usually familiar in the process industry,but it is hard to be controlled by the conventional method.In this paper a control method called double-loop feedback is put forward,first internal feedback stabilization is adopted,then neural network is used to form the internal model control system,finally it solves the problem of bias and instability between the model and the real process.Through the simulation,it is seen that the method has short adjusting time and high control accuracy,which shows the validity and superiority of neural network internal model control.

关 键 词：不稳定时滞过程 内部反馈 RBF 神经网络 内模控制 双反馈环控制 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]