Multi-objective optimization of power converters using genetic algorithms
Multi-objective optimization of power converters using genetic algorithms
复制标题
使用遗传算法对功率转换器进行多目标优化
DOI：
10.1109/speedam.2006.1649862
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
F. V. Horck
中科院分区：
文献类型：
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作者：
D. Malyna;Jorge L. Duarte;M. Hendrix;F. V. Horck
本文介绍了多目标遗传算法NSGA-II在电力电子变换器综合中的应用。形式化的方法和综合的例程开发。作为一个例子，反激式转换器的合成最小二极管和晶体管的损失。将结果与蛮力模拟进行比较，结果显示完全匹配，但模拟时间减少了2.5。探讨了优化过程中的瓶颈问题，并介绍了加速技术
In this paper an application of the multi-objective genetic algorithm NSGA-II to synthesize a power electronic converter is described. The formal approach and the routines for synthesis are developed. As an example, a flyback converter is synthesized for minimum diode and transistor losses. The results are compared with brute-force simulation and show an exact match, but with 2.5 less simulation time. The bottlenecks of the optimization process are explored and acceleration techniques are introduced