Bio inspired BFA optimization for inductor less voltage gain converter

A. Sivakumar, L. Premalatha
{"title":"Bio inspired BFA optimization for inductor less voltage gain converter","authors":"A. Sivakumar, L. Premalatha","doi":"10.1109/ICEETS.2016.7583807","DOIUrl":null,"url":null,"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.","PeriodicalId":215798,"journal":{"name":"2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEETS.2016.7583807","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Reduction of common mode voltage using multilevel inverter Simulation and analysis of energy harvesting from Grey water and rain water in high rises Economic Load Dispatch problem with ramp rate limits and prohibited operating zones solve using Levy flight Moth-Flame optimizer An improve efficiency of li-ion batteries with harmony search algorithm An insight to distributed generation of electrical energy from various renewable sources
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1