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一种基于生物智能控制的静止无功补偿器控制系统
引用本文:周晓华,叶洪涛,王荔芳,刘胜永,袁海英.一种基于生物智能控制的静止无功补偿器控制系统[J].工矿自动化,2012,38(8):63-66.
作者姓名:周晓华  叶洪涛  王荔芳  刘胜永  袁海英
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
基金项目:教育部科学技术研究重点项目资助(212135);广西自然科学基金资助项目(2012GXNSFBA053165);云南省应用基础研究项目资助(2010ZC161);广西教育厅科研立项项目资助(201106LX405);广西工学院科学基金项目资助(院科自1166102)
摘    要:针对传统PID控制在动态调节过程中存在快速性和平稳性矛盾的问题,提出了一种基于生物智能控制的静止无功补偿器控制系统的设计方法。生物智能控制器基于睾丸素分泌调节原理,其一级控制单元和二级控制单元采用比例控制和传统PID控制设计,一级控制单元根据控制偏差的大小动态调整二级控制单元的给定值输入,从而可迅速、稳定地消除控制偏差。仿真结果表明,基于生物智能控制的静止无功补偿器控制系统具有响应速度快、超调量小、动态和静态稳定性能好等优点。

关 键 词:生物智能控制  比例控制器  PID控制器  静止无功补偿器  电压调节器  SVC

A Control System of Static Var Compensator Based on Biological Intelligence Control
ZHOU Xiao-hua , YE Hong-tao , WANG Li-fang , LIU Sheng-yong , YUAN Hai-ying.A Control System of Static Var Compensator Based on Biological Intelligence Control[J].Industry and Automation,2012,38(8):63-66.
Authors:ZHOU Xiao-hua  YE Hong-tao  WANG Li-fang  LIU Sheng-yong  YUAN Hai-ying
Affiliation:1(1.Department of Electronic Information and Control Engineering of Guangxi University of Technology,Liuzhou 545006,China.2.Department of Automatic Control and Mechanical Engineering of Kunming University,Kunming 650214,China)
Abstract:In view of contradiction between rapidity and stationarity existed in dynamic regulation process of conventional PID control,a design method of control system of static var compensator based on biological intelligent control was proposed.The biological intelligent controller is basis on the modulation principle of testosterone release,its master control unit and the secondary control unit were designed with proportional control and conventional PID control,and the master control unit dynamically adjusts set input of the secondary control according to the control error,so as to eliminate control error rapidly and stably.The simulation results showed that the SVC control system based on biological intelligent control has advantages of faster response speed,smaller overshoot,and better static and dynamic performance.
Keywords:biological intelligent control  proportional controller  PID controller  static var compensator  voltage regulator  SVC
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