Article(id=1321485140946170409, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321485129009189764, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2025.4.1, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1659801600000, receivedDateStr=2022-08-07, revisedDate=1662307200000, revisedDateStr=2022-09-05, acceptedDate=1663257600000, acceptedDateStr=2022-09-16, onlineDate=1792996209608, onlineDateStr=2026-10-26, pubDate=1753804800000, pubDateStr=2025-07-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792996209608, onlineIssueDateStr=2026-10-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792996209608, creator=13701087609, updateTime=1792996209608, updator=13701087609, issue=Issue{id=1321485129009189764, tenantId=1146029695717560320, journalId=1146031654075715584, year='2025', volume='23', issue='4', pageStart='1', pageEnd='368', issueExtLink='null', onlineDate='null', pubDate='1753804800000', pubDateStr='2025-07-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792996206762, creator='13701087609', updateTime=1792996850840, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321487830518444549, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321485129009189764, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321487830518444550, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321485129009189764, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1, endPage=9, ext={EN=ArticleExt(id=1321485142623892011, articleId=1321485140946170409, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Design of Fractional-order PID Control of Boost Converter Based on Improved Particle Swarm Optimization Algorithm, columnId=1152281491305755501, journalTitle=Journal of Power Supply, columnName=DC-DC Converters, runingTitle=null, highlight=null, articleAbstract=

The design of fractional-order PID control of a Boost converter is studied, and the fractional-order inductor and capacitor models of the system are fitted using the Oustaloup filter approximation algorithm. To solve the problems of insufficient learning capability and weak iterative convergence when a particle swarm optimization (PSO) algorithm is used to adjust the parameters of the fractional-order PID controller, an improved PSO algorithm is proposed, which introduces three strategies of adaptive inertia weight, adaptive learning factor and weighted mutation to improve the diversity of particles and enhance the convergence speed and accuracy. The improved PSO algorithm is applied to the design of a PID control system for a fractional-order Boost converter. Simulation results show that the control system designed using the improved PSO algorithm has a faster dynamic response of output voltage and inductance current, a better anti-interference capability of output voltage and a better tracking and adjusting capability of inductance current when the load changes suddenly.

, authors=Renming WANG, Jie YANG, Wenzhong LIU, Gang BAO, Mingrui ZHANG, authorsList=Renming WANG, Jie YANG, Wenzhong LIU, Gang BAO, Mingrui ZHANG, authorCompany=null, correspAuthors=Jie YANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321485143525667375, articleId=1321485140946170409, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=基于改进粒子群算法的Boost变换器分数阶PID控制设计, columnId=1149829799759339522, journalTitle=电源学报, columnName=DC-DC变换器, runingTitle=null, highlight=null, articleAbstract=

研究Boost变换器分数阶PID控制设计问题，利用Oustaloup滤波器近似算法拟合系统的分数阶电感和电容模型。针对粒子群优化PSO（particle swarm optimization）算法整定分数阶PID控制器参数时学习能力不充分、迭代收敛乏力的问题，提出1种改进的粒子群优化算法，该算法引入了自适应惯性权重、自适应学习因子及加权变异3种策略用以提高粒子多样性，增强收敛速度与精度。将改进的粒子群算法应用于分数阶Boost变换器PID控制系统设计。仿真结果表明，经改进的粒子群算法设计的控制系统的输出电压和电感电流动态响应更快，在负载突变时输出电压的抗干扰能力更优，电感电流的跟踪调节能力更强。

, authors=王仁明, 杨婕, 刘闻仲, 鲍刚, 张铭锐, authorsList=王仁明, 杨婕, 刘闻仲, 鲍刚, 张铭锐, authorCompany=null, correspAuthors=杨婕, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=89UTfIofratEWdAiY90h3w==, magXml=cYfiLT5uadF5INWZ9S/B+g==, pdfUrl=null, pdf=CgHqmwgidzE5x98UQBrWew==, pdfFileSize=1883084, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=g+G+O3HdnYr9VYudZ6DDKA==, mapNumber=null, fund=null)}, authors=[Author(id=1321485143861211700, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1321485140946170409, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=eermwang@ctgu.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1321485144016400950, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1321485140946170409, authorId=1321485143861211700, language=EN, stringName=Renming WANG, firstName=Renming, middleName=null, lastName=WANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1321485144104481335, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1321485140946170409, authorId=1321485143861211700, language=CN, stringName=王仁明, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=三峡大学电气与新能源学院，宜昌　443002, bio={"content":"

王仁明（1964—　），男，博士，教授。研究方向：复杂系统的分析与控制。E-mail：eermwang@ctgu.edu.cn。

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王仁明（1964—　），男，博士，教授。研究方向：复杂系统的分析与控制。E-mail：eermwang@ctgu.edu.cn。

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刘闻仲（1996—　），男，硕士研究生。研究方向：光伏能源系统设计与控制。E-mail：1019073778@qq.com。

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刘闻仲（1996—　），男，硕士研究生。研究方向：光伏能源系统设计与控制。E-mail：1019073778@qq.com。

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鲍刚（1977—　），男，博士，讲师。研究方向：电力系统分析与控制。E-mail：hustgangbao@gmail.com。

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鲍刚（1977—　），男，博士，讲师。研究方向：电力系统分析与控制。E-mail：hustgangbao@gmail.com。

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张铭锐（1998—　），男，硕士研究生。研究方向：光伏能源系统设计与控制。E-mail：1207531553@qq.com。

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张铭锐（1998—　），男，硕士研究生。研究方向：光伏能源系统设计与控制。E-mail：1207531553@qq.com。

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