DocumentCode :
2834220
Title :
A Genetic Algorithm Design Method for A Current Controller Employing "Two Ahead" Prediction
Author :
Odavic, Milijana ; Zanchetta, Pericle ; Sumner, Mark
Author_Institution :
Univ. of Nottingham, Nottingham
fYear :
2006
fDate :
15-17 Dec. 2006
Firstpage :
812
Lastpage :
817
Abstract :
This paper introduces an improved predictive control for the control of the current in a three-phase active shunt power filter (ASF). The proposed control system compensates for unavoidable digital controller delays, and provides an accurate prediction of the ASF behaviour in the next sampling period. A "two ahead" current reference prediction is proposed which estimates the filter current two samples in advance. The predictor is based on a second order extrapolation method, and can also account for sudden changes in the reference waveform. A genetic algorithm is used for parameter optimisation in the reference prediction/extrapolation formula. In addition to good tracking performance, the proposed controller is insensitive to measurement noise. The effectiveness of the proposed method is verified through experiment.
Keywords :
active filters; electric current control; extrapolation; genetic algorithms; power filters; predictive control; current controller; genetic algorithm; predictive control; second order extrapolation method; three-phase active shunt power filter; two ahead current reference prediction; Control systems; Delay; Design methodology; Digital control; Extrapolation; Genetic algorithms; Noise measurement; Power filters; Predictive control; Sampling methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology, 2006. ICIT 2006. IEEE International Conference on
Conference_Location :
Mumbai
Print_ISBN :
1-4244-0726-5
Electronic_ISBN :
1-4244-0726-5
Type :
conf
DOI :
10.1109/ICIT.2006.372364
Filename :
4237686
Link To Document :
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