Title :
Nonlinear predictive control for active power filter
Author :
Wang Xiaogang ; Liu Hua ; Zhang Jie
Author_Institution :
Coll. of Mech. & Electr. Eng., Guangzhou Univ., Guangzhou, China
Abstract :
A nonlinear optimal predictive controller for current control of paralleled three-phase three-leg active power filter is presented. The objective is to track distorted currents with sudden changes. In order to achieve robustness to parameter uncertainties, a disturbance observer is introduced. The deduced control law has closed analytical form and on-line dynamic optimization is omitted and easy to implement. The simulation results show that the APF based on the proposed control law has good performance, as well as strong robustness.
Keywords :
active filters; electric current control; nonlinear control systems; observers; optimal control; power filters; predictive control; closed analytical form; current control; deduced control law; disturbance observer; nonlinear optimal predictive controller; three-phase three-leg active power filter; Active filters; Inductance; Observers; Optimal control; Power harmonic filters; Predictive control; Robustness; active power filter; disturbance observer; harmoics; nonlinear; predictive control;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
Conference_Location :
Kowloon
DOI :
10.1109/APPEEC.2013.6837201