| 多变量PID型神经元网络控制系统及在除氧器水位解耦控制中的仿真研究 |
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| 引用本文： | 程启明,郑勇.多变量PID型神经元网络控制系统及在除氧器水位解耦控制中的仿真研究[J].上海电力学院学报,2007,23(1):33-37. |
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| 作者姓名： | 程启明 郑勇 |
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| 作者单位： | 1. 上海电力学院,电力与自动化工程学院,上海,200090
2. 上海大学,自动化学院,上海,200072 |
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| 基金项目： | 上海市教委重点科研项目（06ZZ69）;上海市重点学科建设项目（P1303和P1301）. |
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| 摘 要： | 介绍了多变量PID型神经元网络控制系统.给出了网络的结构和学习算法,说明了系统参数选取方法,分析了除氧器水位控制的特点.仿真结果表明,该控制系统对多变量强耦合的除氧器水位控制对象具有良好的解耦性能和自学习控制特性.
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| 关 键 词： | 多变量 神经元网络 解耦控制 除氧器 水位控制 PID控制 |
| 文章编号： | 1006-4729(2007)01-0033-05 |
| 收稿时间： | 2006/11/10 0:00:00 |
| 修稿时间： | 2006-11-10 |
The Control System of Multi-variable PID Neural Network and Its Application in Deaerator Water Level Control |
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| CHENG Qi-ming and ZHENG Yong.The Control System of Multi-variable PID Neural Network and Its Application in Deaerator Water Level Control[J].Journal of Shanghai University of Electric Power,2007,23(1):33-37. |
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| Authors: | CHENG Qi-ming and ZHENG Yong |
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| Affiliation: | 1. School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China; 2. School of Automation, Shanghai University, Shanghai 200072, China |
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| Abstract: | The control system of multi-variable PID neural network is introduced.Its structure and learning algorithm are given;the methods of its parameter selection are explained;the characteristics of deaerator water level control system is analyzed.The simulation results prove that the control system has perfect decouple and self-learning control performance for multi-variable strong-coupled time-varying deaerator water level control system. |
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| Keywords: | multi-variable neural network decouple control deaerator water level control PID control |
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