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

ZHOU Ke,LUO An,TANG Jie(Hunan University,Changsha 410082,China)  
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 fuzzy-inferring 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.
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