基于自抗扰的并联有源电力滤波器优化控制策略  

An Optimization Control Strategy for Parallel Active Power Filter Based on Active Disturbance Rejection

作　　者：童成意 刘朝华[2] 

机构地区：[1]长沙师范高等专科学校电子信息工程系,湖南长沙410100 [2]湖南大学信息科学与工程学院,湖南长沙410082

出　　处：《信息与控制》2012年第6期707-712,719,共7页Information and Control

基　　金：国家自然科学基金重点资助项目(60634020)

摘　　要：提出了一种并联型有源滤波器(APF)的自抗扰控制(ADRC)算法,同时利用改进的免疫粒子群算法对自抗扰控制器参数进行全局优化,利用小波变异增强了免疫克隆选择算法的动态优化性能,构建了一种基于免疫粒子群的并联有源电力滤波器自抗扰控制系统.实验结果表明,文中的控制策略不依赖于精确的对象模型,能够有效地抑制高频干扰对APF补偿性能的影响.控制算法能对有源电力滤波器进行有效控制,且具有较好的动态特性和鲁棒性.The optimal active disturbance rejection control （ADRC） algorithm for paralleling active power filters （APF） is proposed. The improved immune particle swarm algorithm is employed to achieve the global optimization of the active dis- turbance rejection controller＇s parameters. The dynamic is further enhanced by the wavelet variation. Based on optimization performance of the immune clonal selection algorithm the immune particle swarm algorithm, a kind of active disturbance rejection control system for parallel APFs is constructed. Experimental results indicate that the proposed control algorithm does not depend on the precise model of controlled plant, and can restrain the negative effect of high frequency interference on the performance of APF compensators. In addition, the effective control for APF is achievable by the proposed algorithm with proved good dynamic characteristic and robustness.

关 键 词：有源电力滤波器(APF) 自抗扰控制(ADRC) 人工免疫系统(AIS) 粒子群优化(PSO) 

分 类 号：TM46[电气工程—电器] TP18[自动化与计算机技术—控制理论与控制工程]