Article(id=1322560567127159146, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1322560475263513295, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2026.9.320, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1731600000000, receivedDateStr=2024-11-15, revisedDate=1739635200000, revisedDateStr=2025-02-16, acceptedDate=1741536000000, acceptedDateStr=2025-03-10, onlineDate=1793252611190, onlineDateStr=2026-10-29, pubDate=1790697600000, pubDateStr=2026-09-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793252611190, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793252611190, creator=13701087609, updateTime=1793252611190, updator=13701087609, issue=Issue{id=1322560475263513295, tenantId=1146029695717560320, journalId=1146031654075715584, year='2026', volume='24', issue='9', pageStart='1', pageEnd='370', issueExtLink='null', onlineDate='null', pubDate='1790697600000', pubDateStr='2026-09-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793252589288, creator='13701087609', updateTime=1793252589288, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=320, endPage=330, ext={EN=ArticleExt(id=1322560567349457259, articleId=1322560567127159146, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Deadbeat Predictive Control of PMSM Based on Improved Sliding Mode Observer, columnId=1321491666431751062, journalTitle=Journal of Power Supply, columnName=Motor Drives and Control, runingTitle=null, highlight=null, articleAbstract=

Aiming at the degradation of control system performance caused by model prediction errors due to parameter perturbation and model mismatch during the operation of permanent magnet synchronous motor (PMSM), a deadbeat predictive control method based on the improved sliding mode disturbance observer is proposed. First, aiming at the inherent chattering problem in sliding mode control, an adaptive hybrid reaching law for boundary layer based on sign function is designed to achieve smooth crossing at zero point. Then, fuzzy adaptive reasoning rules are designed to adjust the boundary layer width in real time to reduce the steady-state error, taking into account the rapidity of approaching sliding mode surface and chattering suppression, and the stability of the controller is proved. Finally, the feedforward compensation of the prediction model is carried out by using deadbeat current predictive control and fuzzy adaptive sliding mode disturbance observer to improve the robustness of the parameters. The experimental results show that this method can effectively compensate the parameter disturbance when the motor model parameters are mismatched, and the steady-state error is small and the dynamic performance is good.

, authors=Jingtao HUANG^{1, 2}, Yanan WANG¹, Yihao YANG¹, Peng ZHANG³, authorsList=Jingtao HUANG, Yanan WANG, Yihao YANG, Peng ZHANG, authorCompany=null, correspAuthors=Jingtao HUANG, 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=1322560567672418668, articleId=1322560567127159146, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=基于改进滑模观测器的PMSM无差拍预测控制, columnId=1321491668273050520, journalTitle=电源学报, columnName=电机驱动与控制, runingTitle=null, highlight=null, articleAbstract=

针对永磁同步电机PMSM（permanent magnet synchronous motor）运行过程中，参数扰动、模型失配引发的模型预测误差造成的控制系统性能退化问题，提出了一种基于改进滑模扰动观测器的无差拍预测控制方法。首先，针对滑模控制中存在的固有抖振问题，设计了一种基于符号函数的边界层自适应混合趋近律，实现在零点处的平滑穿越；接着，通过设计模糊自适应推理规则实时调整边界层宽度，减小稳态误差，兼顾了趋近滑模面的快速性与抖振抑制，并证明了控制器的稳定性；最后，采用无差拍电流预测控制与模糊自适应滑模扰动观测器对预测模型进行前馈补偿，提高了参数鲁棒性。实验验证了在电机模型参数失配时，该方法不仅可以有效补偿参数扰动，而且稳态误差小，动态性能良好。

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王亚楠（2000—　），男，硕士研究生。研究方向：永磁同步电机高性能控制。E-mail：ynwang@stu.haust.edu.cn。

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王亚楠（2000—　），男，硕士研究生。研究方向：永磁同步电机高性能控制。E-mail：ynwang@stu.haust.edu.cn。

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杨毅豪（1999—　），男，硕士研究生。研究方向：永磁同步电机控制。E-mail：yhyang@stu.haust.edu.cn。

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杨毅豪（1999—　），男，硕士研究生。研究方向：永磁同步电机控制。E-mail：yhyang@stu.haust.edu.cn。

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张鹏（1986—　），男，硕士，正高级工程师。研究方向：电机高性能控制。Email：zhangpeng@crectbm.com。

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张鹏（1986—　），男，硕士，正高级工程师。研究方向：电机高性能控制。Email：zhangpeng@crectbm.com。

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