Optimal sliding mode controller for asymmetrical DC-DC series resonant converter using genetic algorithm

A. Foghani, S. Barakati, S. H. Moosapour
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引用次数: 0

Abstract

Resonant dc-dc converters have been applied to many industrial applications. In order to dc-dc converter operates in fixed frequency and the zero-voltage-switching (ZVS) condition per different loads, using robust control theory has been reported. In this paper, an optimal sliding mode controller for dc-dc series resonant converter is proposed to control the output voltage of converter in presence load varying. Modeling of converter contains three stages: state-space model, transformed model, and averaged model. This model is suitable for designing the sliding-mode controller. To optimize the controller genetic algorithm is employed. Simulation results are shown in order to validate the proposed optimal sliding mode controller.
基于遗传算法的非对称DC-DC串联谐振变换器最优滑模控制
谐振式dc-dc变换器已应用于许多工业领域。为了使dc-dc变换器在固定频率和不同负载的零电压开关状态下工作,采用鲁棒控制理论进行了研究。针对直流-直流串联谐振变换器中存在的负载变化,提出了一种最优滑模控制器来控制变换器的输出电压。转换器的建模包括三个阶段:状态空间模型、转换模型和平均模型。该模型适用于滑模控制器的设计。采用遗传算法对控制器进行优化。仿真结果验证了所提出的最优滑模控制器的有效性。
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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