用遗传算法优化全波交直流变换器的性能

Proceedings of the 41st International Universities Power Engineering Conference Pub Date : 2006-09-01 DOI:10.1109/UPEC.2006.367636

W. Hosny, R. Holček

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引用次数: 2

摘要

采用遗传算法优化全波交直流变换器的输入电源功率因数和输出纹波因数。基于遗传算法的计算通用性和鲁棒性，采用遗传算法进行优化。描述了变换器的拓扑结构和优化控制策略。阐述了遗传算法理论及其在控制策略中的应用。在遗传算法中，四个控制器参数被视为基因，并被优化以实现控制器目标的最佳拟合。这个过程是为了得到转换器的各种负载的结果。此外，这些结果与最小二乘外推技术相结合，用于开发转换器的自适应控制器。给出了在该自适应控制器下变换器运行的仿真结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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Proceedings of the 41st International Universities Power Engineering Conference

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