| 静止无功补偿器的改进单神经元PID控制系统的研究 |
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| 引用本文： | 周晓华,王荔芳,罗文广,刘胜永.静止无功补偿器的改进单神经元PID控制系统的研究[J].低压电器,2012(12):49-52,61. |
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| 作者姓名： | 周晓华 王荔芳 罗文广 刘胜永 |
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| 作者单位： | 1. 广西工学院电子信息与控制工程系,广西柳州,545006
2. 昆明学院自动控制与机械工程系,云南昆明,650214 |
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| 基金项目： | 云南省应用基础研究项目，云南省教育厅科学研究基金重点项目，广西教育厅科研立项项目，广西工学院科学基金 |
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| 摘 要： | 提出了一种单神经元PID控制系统的改进算法,实现了神经元比例增益K(k)和学习速率η_i(k)的在线自适应调整功能。该控制系统算法编写的M语言程序,采用Matlab的S函数,将应用到静止无功补偿器(SVC)的控制系统中在Matlab/Simulink环境下进行了仿真。仿真结果表明,基于改进单神经元PID的SVC控制器具有响应速度快、调节时间短、动态性能和稳态性能好等优点。
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| 关 键 词： | 静止无功补偿器 控制系统 改进单神经元PID S函数 |
Research of Improved Single Neuron Adaptive PID Control System for Static Var Compensator |
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| ZHOU Xiaohua
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WANG Lifang
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LUO Wenguang
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LIU Shengyong.Research of Improved Single Neuron Adaptive PID Control System for Static Var Compensator[J].Low Voltage Apparatus,2012(12):49-52,61. |
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| Authors: | ZHOU Xiaohua WANG Lifang LUO Wenguang LIU Shengyong |
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| Affiliation: | 1. Department of Electronic Information and Control Engineering, Guangxi Institute of Technology, Liuzhou 545006, China ; 2. Department of Automatic Control and Mechanical Engineering, Kunming College, Kunming 650214, China) |
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| Abstract: | An improved algorithm of single neuron adaptive PID which realized the adaptive adjustment function of proportional gain K（k） and learning rate ηi （k） of single neuron on-line was proposed. The program of this controller algorithm was written by using S-function and M language in Matlab software. Then, it was applied to SVC control system and the simulation was carried out in Matlab/Simulink. The results show that the SVC control system based on improved single neuron adaptive PID has the advantages of faster response speed, shorter regulation time, good static and dynamic performance. |
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| Keywords: | static var compensator （SVC） control system improved single neuron adaptive PID S- function |
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