Article(id=1322531540651856773, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1322531529172046652, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2026.4.303, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1700582400000, receivedDateStr=2023-11-22, revisedDate=1702483200000, revisedDateStr=2023-12-14, acceptedDate=1703088000000, acceptedDateStr=2023-12-21, onlineDate=1793245690738, onlineDateStr=2026-10-29, pubDate=1777478400000, pubDateStr=2026-04-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793245690738, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793245690738, creator=13701087609, updateTime=1793245690738, updator=13701087609, issue=Issue{id=1322531529172046652, tenantId=1146029695717560320, journalId=1146031654075715584, year='2026', volume='24', issue='4', pageStart='1', pageEnd='352', issueExtLink='null', onlineDate='null', pubDate='1777478400000', pubDateStr='2026-04-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793245688002, creator='13701087609', updateTime=1793245688002, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=303, endPage=312, ext={EN=ArticleExt(id=1322531542224720774, articleId=1322531540651856773, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Online Parameter Identification of Permanent Magnet Synchronous Motor Considering Magnetic Saturation Effect, columnId=1321491666431751062, journalTitle=Journal of Power Supply, columnName=Motor Drives and Control, runingTitle=null, highlight=null, articleAbstract=

Due to the magnetic saturation effect, there is a difference between the apparent inductance and incremental inductance of a permanent magnet synchronous motor (PMSM), resulting in a deviation in the description of the motor model. With the consideration of the influence of magnetic saturation effect, a new PMSM model is established in this paper by introducing apparent inductance and incremental inductance, and the model parameters are further identified by the particle swarm optimization (PSO) algorithm. To solve the problem that the PSO algorithm is easy to fall into local optimum and its convergence speed is slow, an adaptive particle swarm optimization (APSO) algorithm combined with reverse learning is proposed. To overcome the influence of inverter nonlinearity on the identification results, the error voltage caused by inverter nonlinearity is taken as a new parameter to be identified, and it is identified online. Experimental results verified the accuracy of the APSO algorithm when it was used in identifying the d- and q-axis apparent inductance, d- and q-axis incremental inductance, permanent magnet flux linkage and inverter nonlinearity error voltage of PMSM.

, authors=Geng CHEN, Shuying YANG, Xing ZHANG, authorsList=Geng CHEN, Shuying YANG, Xing ZHANG, authorCompany=null, correspAuthors=Shuying 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=1322531542937752457, articleId=1322531540651856773, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=考虑磁饱和效应的永磁同步电机在线参数辨识, columnId=1321491668273050520, journalTitle=电源学报, columnName=电机驱动与控制, runingTitle=null, highlight=null, articleAbstract=

受到磁饱和等效应影响，永磁同步电机的视在电感和增量电感之间存在差值，导致电机模型描述出现偏差。考虑磁饱和效应的影响，引入视在电感和增量电感，建立新的永磁同步电机模型，并使用粒子群优化PSO（particle swarm optimization）算法对模型参数进行辨识。为解决粒子群优化算法易陷入局部最优、收敛速度慢等问题，提出1种融合反向学习的自适应粒子群优化APSO（adaptive particle swarm optimization）算法；为克服逆变器非线性对辨识结果的影响，将逆变器非线性导致的误差电压作为1个新的待辨识参数，对其进行在线辨识。实验验证了APSO算法对永磁同步电机d、q轴视在电感，d、q轴增量电感，永磁体磁链和逆变器非线性误差电压辨识的准确性。

, authors=陈赓, 杨淑英中国电源学会会员, 张兴中国电源学会高级会员, authorsList=陈赓, 杨淑英中国电源学会会员, 张兴中国电源学会高级会员, authorCompany=null, correspAuthors=杨淑英中国电源学会会员, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=Jf209Yi64u6KuZQuhgkTBA==, magXml=0iFICQdts5hfdLRusvqlWQ==, pdfUrl=null, pdf=sqJE6My93DvVf2rNAdc9mg==, pdfFileSize=9038576, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=lZIvPUkhxN9mFd+nelJ4MQ==, mapNumber=null, fund=null)}, authors=[Author(id=1322531543369765774, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531540651856773, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=2021110358@mail.hfut.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1322531543441068944, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531540651856773, authorId=1322531543369765774, language=EN, stringName=Geng CHEN, firstName=Geng, middleName=null, lastName=CHEN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1322531543550120849, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531540651856773, authorId=1322531543369765774, language=CN, stringName=陈赓, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=合肥工业大学电气与自动化工程学院，合肥　230009, bio={"content":"

陈赓（1999—　），男，硕士研究生。研究方向：永磁同步电机参数辨识。E-mail：2021110358@mail.hfut.edu.cn。

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陈赓（1999—　），男，硕士研究生。研究方向：永磁同步电机参数辨识。E-mail：2021110358@mail.hfut.edu.cn。

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张兴（1963—　），男，中国电源学会高级会员，博士，教授。研究方向：新能源变流技术。E-mail：honglf@ustc.edu.cn。

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张兴（1963—　），男，中国电源学会高级会员，博士，教授。研究方向：新能源变流技术。E-mail：honglf@ustc.edu.cn。

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