基于遗传算法的PSR反激变换器补偿器优化设计

Tianyuan Tang, Ping Luo, Chengda Deng, Qiang Wang, Liao Zhang, Bo Zhang
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引用次数: 0

摘要

一次侧调节反激电路消除了光耦合器,可实现多径输出。稳定反激补偿器的参数很难手工计算,特别是当电路的其他参数变化很大时。提出了一种基于遗传算法的优化设计补偿器。详细的计算过程,从模型的建立到算法算子的使用已经解释。通过Matlab和Cadence的仿真验证了遗传算法的有效性。该逆变器在不同负载下具有良好的动态性能和较小的输出电压纹波。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Optimal Designed Compensator for PSR Flyback Converters Based on Genetic Algorithm
Primary side regulated flyback eliminates opto-coupler and can realize multipath output. The parameters of compensator for stable flyback are quite difficult for manual calculation, especially when other parameters of circuit vary a lot. This paper proposes an optimal designed compensator based on genetic algorithm. A detailed process of calculation from model building to algorithm operators using has been explained. The results gotten from genetic algorithm has been approved by simulation in Matlab and Cadence. The CV PSR flyback has a good dynamic performance and small ripple of output voltage under different loads.
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