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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

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【Author】 ZHOU Xiaohua1,WANG Lifang2,HUANG Ling1(1.Department of Electronic Information and Control Engineering,Guangxi University of Technology, Liuzhou 545006,China;2.Department of Automatic Control and Mechanical Engineering, Kunming University,Kunming 650214,China)

【机构】广西工学院电子信息与控制工程系；昆明学院自动控制与机械工程系；

【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。更多还原

【Abstract】 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.更多还原

【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；
【Key words】 static var compensator(SVC)； second-performance learning algorithm single neuron adaptive PID； voltage regulator； Matlab simulation；

【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)

【文献出处】低压电器 ,Low Voltage Apparatus , 编辑部邮箱 ,2011年11期

【分类号】TM761.12
【被引频次】2
【下载频次】138

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