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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.
A novel ADRC algorithm for shunt active power filter (APF) is proposed. At the same time, an improved immune particle swarm optimization algorithm is used to globally optimize the ADRC parameters. The wavelet transform is used to enhance the immune clonal selection The dynamic optimization performance of the proposed algorithm is based on an immune particle swarm parallel shunt active power filter ADRC control system.The experimental results show that the control strategy in this paper does not depend on the precise object model and can effectively suppress high frequency interference On the APF compensation performance.Control algorithm can effectively control the active power filter, and has good dynamic characteristics and robustness.