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基于二次型单神经元PID的HVDC整流控制器设计 被引量:1

Design of Rectifier Controller Based on Second-performance Learning Algorithm Single Neuron Adaptive PID for HVDC
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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.
出处 《广西工学院学报》 CAS 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
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 second-performance learning algorithm single neuron adaptive PID I-IVDC system fixed current rectifier control S function
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