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一种基于人工神经网络的内模控制方法
引用本文:季春光,王朋,吴锐,李求由. 一种基于人工神经网络的内模控制方法[J]. 哈尔滨商业大学学报(自然科学版), 2001, 17(4): 28-31
作者姓名:季春光  王朋  吴锐  李求由
作者单位:哈尔滨工业大学,计算机科学与工程学院,黑龙江,哈尔滨,150001;哈尔滨盐业公司,黑龙江,哈尔滨,150001
摘    要:对SISO反馈线性化系统的自适应自校正神经控制进行改造,提出了一种基于BP网络的内模控制新方法,克服了原系统设计方案的理想化,提高了系统的鲁棒性,使该方法具有实用性。同时有只要建立被控过程的内部模型即可得到内模控制器模型的特点。

关 键 词:神经网络  内模控制  过程控制  BP网络
文章编号:1004-1842(2001)04-0028-04
修稿时间:2001-09-28

An Internal Model Control Method Based on Artificial Neural Networks
JI Chun-guang ,WANG Peng ,WU Rui ,LI Qiu-you. An Internal Model Control Method Based on Artificial Neural Networks[J]. Journal of Harbin University of Commerce :Natural Sciences Edition, 2001, 17(4): 28-31
Authors:JI Chun-guang   WANG Peng   WU Rui   LI Qiu-you
Affiliation:JI Chun-guang 1,WANG Peng 1,WU Rui 1,LI Qiu-you 2
Abstract:For the control of a kind of SISO feedback linearizable system,this paper put for-ward a new Internal model control method based on BP neural networks.It improves the self-tuning adaptive control based on neural networks,and overcomes the idealizationof the old method and improves the robustness and practicability.Comparing with other IMC based on neural networks,it has a trait that we can get the internal model as soon as the internal model of controlled processing is established.
Keywords:neural networks  internal model control  process control  BP networks
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