Title :
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
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;
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
DOI :
10.1109/UPEC.2006.367636
