基于二次型单神经元PID的HVDC整流控制器设计  

Design of Rectifier Controller Based on Second-performance Learning Algorithm Single Neuron Adaptive PID for HVDC

作　　者：周晓华[1] 王荔芳[2] 尹建媛[3] 佘乾仲[4] 

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 [3]广西工学院工程训练中心,广西柳州545006 [4]广西大学电气工程学院,广西南宁530004

出　　处：《广西工学院学报》2011年第4期40-43,共4页Journal of Guangxi University of Technology

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

摘　　要：针对传统PID控制器存在自适应性差、调节时间长的问题,设计了一种基于二次型性能指标学习算法单神经元自适应PID的HVDC系统定电流整流控制器,控制器算法通过S函数-M语言编程实现,采用12脉冲桥结构的HVDC系统整流侧定电流控制模型在MATLAB/simulink环境下仿真,仿真结果表明,所设计的整流控制器超调量小、调节时间短、自适应能力好、控制效果良好.To solve problems that conventional PID controller has poor adaptation and longer regulation time, a fixed current rectifier controller based on second-performance learning algorithm single neuron adaptive PID was designed for HVDC system. And the program of this controller algorithm was written by using S-function and M language in Matlab software. The simulation experiment was carried out in Matlab/Simulink,and the simulation model is 12-pulse bridge HVDC system using fixed current control pattern in its rectifier side. The simulation results show that the rectifier controller based on second-performance learning algorithm single neuron adaptive PID has smaller overmodulation, shorter regulation time, better adaptive ability, and good control effects.

关 键 词：二次型单神经元PID 高压直流输电 定电流整流控制 S函数 

分 类 号：TM743[电气工程—电力系统及自动化]