电工技术学报2012，Vol.27Issue(8)：133-140,8.
混合有源电力滤波器的新型电流迭代学习控制
A Novel Iterative Learning Control for Current Tracking of Hybrid Active Power Filter
摘要
Abstract
The traditional PI-type iterative learning control has some defects such as the convergence of control algorithm depending heavily on initial input of learning control and the parameters of iterative controller being constant value.A new algorithm of PI-type iterative learning control is proposed in this paper for current feedback control of hybrid active power filter,and the convergence condition of applying iterative algorithm in filter system is obtained.An improved Ziegler-Nichols method is used to optimize control parameters of feedback controller for improving current compensation precision.In order to improve the dynamic response performance of filter system,a feed-forward link based D-type learning law of harmonic current error signal as control input is added to feedback controller,which constitutes a feedback-feed-forward control strategy of harmonic current error.A neural network with three-layer based on BP algorithm is applied for optimizing control gain of feed-forward link.Simulation and experimental results confirm the value of the proposed iterative algorithm and control strategy.关键词
有源滤波器/迭代控制/Ziegler-Nichols方法/神经网络/权值Key words
Active power filter/iterative learning control/Ziegler-Nichols method/neural network/weight分类
信息技术与安全科学引用本文复制引用
吴敬兵,罗安,马伏军,彭双剑..混合有源电力滤波器的新型电流迭代学习控制[J].电工技术学报,2012,27(8):133-140,8.基金项目
国家自然科学基金 （）
国家重点基础研究计划（973计划）（2009CB219706）资助项目 （）
