DocumentCode :
1413560
Title :
Feedback-Feedforward PI-Type Iterative Learning Control Strategy for Hybrid Active Power Filter With Injection Circuit
Author :
Luo, An ; Xu, Xianyong ; Fang, Lu ; Fang, Houhui ; Wu, Jingbing ; Wu, Chuanping
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
Volume :
57
Issue :
11
fYear :
2010
Firstpage :
3767
Lastpage :
3779
Abstract :
In this paper, the configuration characteristic of Hybrid active power filter (APF) with injection circuit (IHAPF) is analyzed, as well as its current closed-loop control model is established. Because of the character of reperiod of current harmonics in steady-load power system, the iterative learning control algorithm based on the PI-type learning law is presented. The systemic robustness is enhanced by using a forgetting factor. In order to improve the dynamic performance of a control system, a feedforward based on the D-type learning law of referenced current error by fuzzy reasoning is proposed. The system of the IHAPF with the proposed control strategy has been applied in a steel plant in Guangxi, China. Simulation and industrial application results show that the IHAPF with the proposed control method is not only easy to calculate and implement but also very effective in improving the performance of the filter. Meanwhile, IHAPF shows great promise in reducing harmonics and improving power factor with a relatively low capacity of APF.
Keywords :
PI control; electric current control; fuzzy control; fuzzy reasoning; intelligent control; power filters; D-type learning law; current closed loop control; current error; feedback-feedforward PI type control; fuzzy reasoning; hybrid active power filter; injection circuit; iterative learning control; Active filters; Circuit analysis; Control systems; Feedback circuits; Hybrid power systems; Power harmonic filters; Power system analysis computing; Power system dynamics; Power system harmonics; Power system modeling; D-type learning law; PI-type iterative learning control; forgetting factor; fuzzy adjustor; hybrid active power filter (APF);
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2010.2040567
Filename :
5409664
Link To Document :
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