Article(id=1321482017091469424, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321481963769287353, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2025.3.343, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1651939200000, receivedDateStr=2022-05-08, revisedDate=1657555200000, revisedDateStr=2022-07-12, acceptedDate=1658160000000, acceptedDateStr=2022-07-19, onlineDate=1792995464823, onlineDateStr=2026-10-26, pubDate=1748534400000, pubDateStr=2025-05-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792995464823, onlineIssueDateStr=2026-10-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792995464823, creator=13701087609, updateTime=1792995464823, updator=13701087609, issue=Issue{id=1321481963769287353, tenantId=1146029695717560320, journalId=1146031654075715584, year='2025', volume='23', issue='3', pageStart='1', pageEnd='372', issueExtLink='null', onlineDate='null', pubDate='1748534400000', pubDateStr='2025-05-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792995452109, creator='13701087609', updateTime=1792995578032, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321482491983147168, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321481963769287353, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321482491983147169, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321481963769287353, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=343, endPage=353, ext={EN=ArticleExt(id=1321482017276018801, articleId=1321482017091469424, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Dual-model-based Recursive Least Squares Online Identification of Electrical Parameters of Permanent Magnet Synchronous Linear Motor, columnId=1152281495567168372, journalTitle=Journal of Power Supply, columnName=Electric Machine System and Control, runingTitle=null, highlight=null, articleAbstract=

To realize a high-precision online identification of multiple electrical parameters of a permanent magnet synchronous linear motor (PMSLM), a dual-model-based recursive least squares online identification algorithm for electrical parameters is proposed in this paper. First, according to the dq-axis voltage equation of the motor, the first model for identifying the stator resistance and permanent magnet flux linkage and the second model for identifying the q-axis inductance and d-axis inductance are established, respectively, and the two identification models are combined cyclically. Second, based on the dual-model structure, the recursive least squares algorithm is used to realize the online identification of electrical parameters, and a piecewise variable forgetting factor with saturation characteristics is proposed for the characteristics of a large number of dynamic processes during the operation of PMSLM. Meanwhile, the error voltage caused by the power switch non-ideal factor is compensated, which further improves the identification accuracy. Finally, simulation and experimental results prove the effectiveness of the identification algorithm, indicating that it has advantages such as a fast convergence speed, a high accuracy of identification results, and applicability under multiple working conditions.

, authors=Mingkun BAO, Yangzhong ZHOU, authorsList=Mingkun BAO, Yangzhong ZHOU, authorCompany=null, correspAuthors=Yangzhong ZHOU, 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=1321482017708032116, articleId=1321482017091469424, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=基于双模型的递推最小二乘永磁同步直线电机电气参数在线辨识, columnId=1149830230325616646, journalTitle=电源学报, columnName=电机系统与控制, runingTitle=null, highlight=null, articleAbstract=

为了实现永磁同步直线电机PMSLM（permanent magnet synchronous linear motor）高精度的多电气参数在线辨识，提出了一种基于双模型的递推最小二乘电气参数在线辨识算法。首先，根据电机的dq轴电压方程分别建立了辨识定子电阻、永磁体磁链的模型1和辨识q轴电感、d轴电感的模型2，并将2个辨识模型循环结合。其次，基于上述双模型结构，采用递推最小二乘算法实现电气参数在线辨识，并针对PMSLM运行时存在大量动态过程的特性，提出一种具有饱和特性的分段变遗忘因子；然后，对功率开关非理想因素导致的误差电压进行补偿，进一步提高了辨识的精准度；最后，仿真和实验结果证明了该辨识算法的有效性，且具有收敛速度快、辨识结果精度高、多工况适用等优点。

, authors=鲍明堃, 周扬忠中国电源学会高级会员, authorsList=鲍明堃, 周扬忠中国电源学会高级会员, authorCompany=null, correspAuthors=周扬忠中国电源学会高级会员, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=KNlNLpK7qCEsoAhX0+xhAg==, magXml=R+a2B7fdMMxX1ry7TEhTyQ==, pdfUrl=null, pdf=sIyfPy2gk96J6Vi6Yja3Fw==, pdfFileSize=1744820, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=JTDrsNVMLkjpXr6uwLFx4w==, mapNumber=null, fund=null)}, authors=[Author(id=1321482019729686649, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1321482017091469424, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=879527923@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1321482019830349947, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1321482017091469424, authorId=1321482019729686649, language=EN, stringName=Mingkun BAO, firstName=Mingkun, middleName=null, lastName=BAO, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=Fujian Key Laboratory of New Energy Generation and Power Conversion (Fuzhou University), Fuzhou 350116, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1321482019901653116, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1321482017091469424, authorId=1321482019729686649, language=CN, stringName=鲍明堃, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=福建省新能源发电与电能变换重点实验室（福州大学），福州　350116, bio={"content":"

鲍明堃（1998—　），男，硕士研究生。研究方向：电力传动与变频调速系统。E-mail：879527923@qq.com。

"}, bioImg=null, bioContent=

鲍明堃（1998—　），男，硕士研究生。研究方向：电力传动与变频调速系统。E-mail：879527923@qq.com。

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