混合有源电力滤波器的新型迭代学习控制  

Novel Iterative Learning Control for Hybrid Active Power Filter

作　　者：吴敬兵[1] 罗安[1] 杨晓峰[1] 马伏军[1] 曾灿林[1] 

机构地区：[1]湖南大学电气与信息工程学院,湖南省长沙市410082

出　　处：《电网技术》2011年第8期104-108,共5页Power System Technology

基　　金：国家自然科学基金项目(60774043)~~

摘　　要：将混合型有源电力滤波器应用于电网谐波抑制与无功功率补偿,在传统比例-积分(proportion-integration,PI)控制迭代学习算法基础上加入关于电流误差信号的微分项,提出一种新型比例-积分-微分(proportion-integration-differentiation,PID)控制迭代学习控制算法,并推导出了算法收敛的条件,该控制算法改进了传统迭代学习算法的不足,不依赖于初始电流输入信号的选取。采用一种改进的齐格勒-尼柯尔斯方法实现对PID控制器参数的优化,以提高系统的控制精度。仿真和实验结果证明了该控制方法的可行性和有效性,与传统迭代学习算法比较,其具有响应速度快、控制精度高和易于实现的特点。To use hybrid active power filter （HAPF） for power system harmonic suppression and reactive power compensation, by means of adding differential item of current error to traditional PI iterative learning algorithm a novel PID control iterative learning control algorithm is proposed, and the convergence condition of the proposed algorithm is derived. This novel control algorithm remedies the insufficiency of traditional iterative learning control algorithm and is independent of the selection of initial current input signal. An improved Ziegler-Nichols method is adopted to optimize parameters of PID controller to improve control accuracy of the system. Results of experiments and simulation verify the feasibility and effectiveness of the proposed control method. The proposed control algorithm is easy to implement and possesses faster response speed and higher control accuracy than those of traditional iterative learning algorithm.

关 键 词：有源电力滤波器 比例-积分-微分控制器 迭代 学习控制 

分 类 号：TM712[电气工程—电力系统及自动化]