Bio inspired BFA optimization for inductor less voltage gain converter

A. Sivakumar, L. Premalatha
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引用次数: 1

Abstract

The proposed research work deals with the execution of BFOA control for switched capacitor converter (SCC) with closed loop performance analysis. The above-culled converter is incipiently developed novel DC to DC converter with voltage hoist technique. The dynamic behavioural characteristics of power electronic converters is exceedingly nonlinear due to the nature of switching operation and unstable nature of time and, hence BFOA predicated bio-inspired controller is introduced for the developed novel converter [Intelligent swarm optimization network was developed for the current research work]. The closed loop performance investigation of the above converter utilizing software simulation (MATLAB) and proto type implementation with FPGA was validated. For the conditions like supply perturbances and load transmutes the performance of the converter is found to be preponderant.
无电感增益变换器的生物启发BFA优化
本文研究了开关电容变换器(SCC)的BFOA控制,并进行了闭环性能分析。该变换器是一种基于电压提升技术的新型直流变换器。由于电力电子变流器开关工作的性质和时间的不稳定性,其动态行为特性具有极大的非线性,因此本文将BFOA预测仿生控制器引入到所开发的新型变流器中[针对目前的研究工作开发了智能群优化网络]。利用MATLAB软件仿真和FPGA样机实现对上述变换器的闭环性能进行了验证。在电源扰动和负载变化等条件下,变换器的性能是优越的。
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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