粒子群优化在双输入降压-升压变换器输出电压调节中的应用

Kinattingal Sundareswaran, Kiran Kuruvinashetti, P. S. R. Nayak
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引用次数: 7

摘要

双输入DC-DC转换器作为不同可再生能源和公共负载之间的接口。由于可再生能源的不确定性越来越大,必须控制双输入DC-DC转换器为负载提供恒定电压。本文设计和开发了一种基于粒子群优化(PSO)的双输入Buck-Boost (DIBB)变换器输出电压调节最优控制器结构估计策略。在DIBB不同工作点的计算和测量结果表明,PSO调谐反馈控制器在提供所需的输出电压和良好的动态响应方面远远优于传统控制器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Particle Swarm Optimization for output voltage regulation of dual input buck-boost converter
Dual input DC-DC converters act as an interface between different renewable energy sources and a common load. With uncertainty looming large over the renewable energy sources, it is mandatory to control the dual input DC-DC converter to provide a constant voltage to the load. This work reports the design and development of a Particle Swarm Optimization (PSO) based strategy for estimation of optimal controller structure for output voltage regulation of Dual input Buck-Boost (DIBB) converter. Computed and measured results at different operating points of DIBB suggest that the PSO tuned feedback controller is far superior to its conventional counterpart in delivering the desired output voltage with excellent dynamic response.
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