球磨机单神经元自适应PID解耦控制系统仿真

程启明; 郑勇; 杨晓; 潘伟锋

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上海电力大学学报:2008,24(3):207-210,226

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球磨机单神经元自适应PID解耦控制系统仿真

程启明¹, 郑勇^1,2, 杨晓², 潘伟锋¹

(1.上海电力学院电力与自动化工程, 上海 200090;2.上海大学机电工程与自动化学院, 上海 200072)

The Simulative on Decoupling Control System of Single Neuron Adaptive PID for Ball Mill

CHENG Qi-ming¹, ZHENG Yong^1,2, YANG Xiao², PAN Wei-feng¹

(1.School of Elcetric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.College of Electromechanical Engineering and Automation, Shanghai University, Shanghai 200072, China)

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本文已被：浏览 861次下载 450次
投稿时间：2008-06-27

中文摘要: 针对球磨机制粉系统的多变量、强耦合、非线性和时变性等特点,提出了球磨机自适应神经元PID解耦的控制方法.将静态解耦逆矩阵与球磨机对象串接,以解除球磨机多变量之间的耦合,再采用两个单神经元自适应PID控制器对解耦后的两变量对象进行闭环控制.仿真结果表明,该控制法相比常规的PID解耦控制法有更好的控制品质,跟踪快、鲁棒性强、解耦好,可较好地解决球磨机系统的时变性、耦合性等问题.

中文关键词: 球磨机解耦控制单神经元 PID控制 Hebb算法

Abstract:Regarding the multi-variable,strong coupling,nonlinear and time-varying characteristics of the ball mill pulverizing system,the adaptive decoupling control system of single neuron PID for ball mill is proposed.In this controller,the static decoupling inverse matrix is serially connected to ball mill object for decoupling,then two single neuron adaptive PID controllers are used to control two variables of decoupled object in closed loop.The computer simulation results show that the control method has better quality than the conventional PID decoupling control method.Having fast tracking ability,strong robustness,good decoupling ability,it can effectively solve the time-varying problem,coupling problem etc.

keywords: ball mill decoupling control single neuron PID control Hebb algorithm

文章编号：20080302 中图分类号： 文献标志码：

基金项目:上海市教委重点科研项目(06ZZ69);上海市教委重点学科建设项目(J51301);上海市电站自动化技术重点实验室资助项目

作者	单位
程启明	上海电力学院电力与自动化工程, 上海 200090
郑勇	上海电力学院电力与自动化工程, 上海 200090 上海大学机电工程与自动化学院, 上海 200072
杨晓	上海大学机电工程与自动化学院, 上海 200072
潘伟锋	上海电力学院电力与自动化工程, 上海 200090

引用文本：
程启明,郑勇,杨晓,等.球磨机单神经元自适应PID解耦控制系统仿真[J].上海电力大学学报,2008,24(3):207-210,226.
CHENG Qi-ming,ZHENG Yong,YANG Xiao,et al.The Simulative on Decoupling Control System of Single Neuron Adaptive PID for Ball Mill[J].Journal of Shanghai University of Electric Power,2008,24(3):207-210,226.

Author Name	Affiliation
CHENG Qi-ming	School of Elcetric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
ZHENG Yong	School of Elcetric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China College of Electromechanical Engineering and Automation, Shanghai University, Shanghai 200072, China
YANG Xiao	College of Electromechanical Engineering and Automation, Shanghai University, Shanghai 200072, China
PAN Wei-feng	School of Elcetric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China