基于PI迭代学习的有源滤波器电流跟踪控制  

PI Iterative Learning for Current-tracking Control of Active Power Filter

作　　者：周柯[1] 罗安[1] 唐杰[1] 

机构地区：[1]湖南大学,湖南长沙410082

出　　处：《电力电子技术》2006年第4期53-55,共3页Power Electronics

基　　金：国家自然科学基金资助项目(60474041);国家科技攻关项目(2002BA218C)~~

摘　　要：在采用有源电力滤波器消除谐波过程中,由于滤波器的检测精度有限,指令电流计算延时和输出滤波器的相移等因素影响,传统PI控制滤波效果不够理想。本文针对稳定性负载电网谐波具有重复周期性特点,提出了一种基于PI型学习律的迭代学习控制算法,通过实施遗忘因子学习律增强系统鲁棒性的同时,引入了在最优目标选择下模糊参考电流误差的D型学习律前馈环节,提高了系统的跟踪精度。仿真与现场运行结果都证明,该控制方法具有谐波电流跟踪效果好,计算量小,工程易于实现等特点。In the use of active power filter （APF） for eliminating harmonics,due to the limitation of detection precision,time delay of instruction current calculation and phase displacement of output filter,the performance of APF used in traditional PI controller was not satisfied.According to the re-period character of current harmonics in steady-load power system,this paper presents a PI-type iterative learning control algorithm for APF current tracking control by means of a forgetting factor to enhance systemic robust,and simultaneously a D-type learning law feedforward based fuzzyinferring referenced-current error under the optimal object is introduced.The proposed algorithm has good tracking effect, small computation capacity and is easy for engineering application.Simulation and running results all prove its value.

关 键 词：滤波器 跟踪 控制/PI 迭代学习 模糊推理 

分 类 号：TM76[电气工程—电力系统及自动化] TN713[电子电信—电路与系统]