基于pso的de类逆变器设计程序

Wenqi Zhu, Yutaro Komiyama, Kien Nguyan, H. Sekiya
{"title":"基于pso的de类逆变器设计程序","authors":"Wenqi Zhu, Yutaro Komiyama, Kien Nguyan, H. Sekiya","doi":"10.1109/ISOCC53507.2021.9613924","DOIUrl":null,"url":null,"abstract":"In this research, a novel numerical design strategy is presented for the class-DE inverter design, which is based on particle swarm optimization (PSO) algorithm. Compared with previous numerical design methods based on Newton’s method, the proposed method shows convenience without restricting the number of design parameters. Additionally, no initial estimation is needed for ensuring convergence. Therefore, system-level optimization, which considers optimized inductor designs, can be realized. A design example of the class-DE inverter is shown in this paper. The numerical calculation proved the validity of the proposed design method.","PeriodicalId":185992,"journal":{"name":"2021 18th International SoC Design Conference (ISOCC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PSO-based Design Procedure for Class-DE Inverter\",\"authors\":\"Wenqi Zhu, Yutaro Komiyama, Kien Nguyan, H. Sekiya\",\"doi\":\"10.1109/ISOCC53507.2021.9613924\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research, a novel numerical design strategy is presented for the class-DE inverter design, which is based on particle swarm optimization (PSO) algorithm. Compared with previous numerical design methods based on Newton’s method, the proposed method shows convenience without restricting the number of design parameters. Additionally, no initial estimation is needed for ensuring convergence. Therefore, system-level optimization, which considers optimized inductor designs, can be realized. A design example of the class-DE inverter is shown in this paper. The numerical calculation proved the validity of the proposed design method.\",\"PeriodicalId\":185992,\"journal\":{\"name\":\"2021 18th International SoC Design Conference (ISOCC)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 18th International SoC Design Conference (ISOCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISOCC53507.2021.9613924\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 18th International SoC Design Conference (ISOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOCC53507.2021.9613924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种基于粒子群优化(PSO)算法的de类逆变器数值设计策略。与以往基于牛顿法的数值设计方法相比,该方法具有不限制设计参数数量的便捷性。此外,不需要初始估计来确保收敛性。因此,可以实现考虑优化电感设计的系统级优化。本文给出了一个de类逆变器的设计实例。数值计算证明了所提设计方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PSO-based Design Procedure for Class-DE Inverter
In this research, a novel numerical design strategy is presented for the class-DE inverter design, which is based on particle swarm optimization (PSO) algorithm. Compared with previous numerical design methods based on Newton’s method, the proposed method shows convenience without restricting the number of design parameters. Additionally, no initial estimation is needed for ensuring convergence. Therefore, system-level optimization, which considers optimized inductor designs, can be realized. A design example of the class-DE inverter is shown in this paper. The numerical calculation proved the validity of the proposed design method.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信