DocumentCode :
2369913
Title :
Model Reference Adaptive Control Design for a Shunt Active Power Filter System
Author :
Shyu, Kuo-Kai ; Yang, Ming-Ji ; Chen, Yen-Mo ; Lin, Yi-Fei
Author_Institution :
Dept. of Electr. Eng., Nat. Central Univ., Chung-li
fYear :
2006
fDate :
6-10 Nov. 2006
Firstpage :
73
Lastpage :
78
Abstract :
In this paper, model reference adaptive control (MRAC) is proposed for a single-phase shunt active power filter (APF) to improve line power factor and to reduce line current harmonics. The proposed active power filter controller forces the supply current to be sinusoidal with low current harmonics and in phase with the line voltage. The advantages of using MRAC over conventional proportional-integral (PI) control are more flexibility, adaptive and robustness; moreover, MRAC can self-tune the controller gains to assure the system stability. Since the APF is a bilinear system, it is hard to design the controller. This paper will solve the stability problem when linearization method is used to approach the nonlinearity of the system. Besides, using Lyapunov´s stability theory and Barbalat´s lemma, an adaptive law is designed to guarantee asymptotic output tracking for the system. To verify the proposed APF system, a digital signal controller is adopted to implement the algorithm of MRAC and an 1-kVA laboratory prototype is built to test the feasibility
Keywords :
Lyapunov methods; PI control; active filters; bilinear systems; control nonlinearities; control system synthesis; digital control; linearisation techniques; model reference adaptive control systems; power factor; power harmonic filters; robust control; 1 kVA; Barbalat lemma; Lyapunov stability theory; PI control; adaptive law; asymptotic output tracking; bilinear system; controller design; digital signal controller; line current harmonics reduction; line power factor improvement; linearization method; model reference adaptive control design; proportional-integral control; shunt active power filter system; system nonlinearity; Active filters; Adaptive control; Control systems; Pi control; Power harmonic filters; Power system harmonics; Power system modeling; Proportional control; Reactive power; Robust stability; Active power filter; adaptive control; harmonics; model reference; power factor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location :
Paris
ISSN :
1553-572X
Print_ISBN :
1-4244-0390-1
Type :
conf
DOI :
10.1109/IECON.2006.347931
Filename :
4153295
Link To Document :
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