基于二次型单神经元PID的静止无功补偿器控制系统仿真  

Simulation of Static Var Compensator Control System Based on Secondperformance Learning Algorithm Single Neuron Adaptive PID

作　　者：周晓华[1] 王荔芳[2] 黄玲[1] 

机构地区：[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

出　　处：《低压电器》2011年第11期48-52,共5页Low Voltage Apparatus

基　　金：云南省应用基础研究项目资助(2010ZC161);云南省教育厅研究基金重点项目资助(2010Z027)

摘　　要：针对传统PID控制器自适应性差、调节时间长的问题,设计了一种基于二次型单神经元PID的SVC控制系统电压调节器,并在Matlab/Simulink环境下对SVC控制系统进行了仿真试验。仿真结果表明,基于二次型单神经元PID的SVC控制系统,响应速度快,超调量小,自适应能力好,系统动态和静态特性良好。Aimed at the problem of conventional PID controller＇s poor adaptation and long regulation time,a voltage regulator based on second-performance learning algorithm single neuron adaptive PID was designed for SVC control system.And a simulation experiment was carried out in Matlab/Simulink for it.The simulation results showed that the speed of response of the control system was increased obviously and its overmodulation was reduced.In addition,the control system had good adaptive ability,good dynamic and static performance.

关 键 词：静止无功补偿器 二次型单神经元PID 电压调节器 MATLAB仿真 

分 类 号：TM761.12[电气工程—电力系统及自动化]