Performance Optimisation of a Full Wave AC to DC Converter Using Genetic Algorithms

Author

Hosny, W. ; Holcek, R.

Author_Institution

Univ. of East London, London

Volume

3

fYear

2006

fDate

6-8 Sept. 2006

Firstpage

1036

Lastpage

1040

Abstract

Genetic algorithms (GA) are used to optimize the performance of a full-wave AC to DC converter in terms of improving its input supply power factor and minimising its output ripple factor. GA is used for optimization on the ground of their computation versatility and robustness. The converter topology and the optimisation control strategy is described. The GA theory and its application to the control strategy is explained. Four controller parameters are treated as Genes in the GA and are optimised for achievement of best fit of the controller objectives. This process is carried out to yield results for various loads of the converter. Further, these results, in conjunction with least square extrapolation technique, are used to develop an adaptive controller for the converter. Simulation results for the converter operating under this adaptive controller are presented.

Keywords

AC-DC power convertors; adaptive control; extrapolation; genetic algorithms; least squares approximations; optimal control; power factor; adaptive controller; full wave AC-DC converter; genetic algorithms; least square extrapolation technique; optimisation control; ripple factor; supply power factor; Adaptive control; DC-DC power converters; Genetic algorithms; Least squares methods; Optimization; Power supplies; Programmable control; Reactive power; Robustness; Topology; genetic algorithms; performance optimisation; power electronic converter; quality of power supply;

fLanguage

English

Publisher

ieee

Conference_Titel

Universities Power Engineering Conference, 2006. UPEC '06. Proceedings of the 41st International

Conference_Location

Newcastle-upon-Tyne

Print_ISBN

978-186135-342-9

Type

conf

DOI

10.1109/UPEC.2006.367636

Filename

4218844