Article(id=1309640086908662652, tenantId=1146029695717560320, journalId=1189621681917173762, issueId=1309640086191432626, articleNumber=null, orderNo=null, doi=10.19620/j.cnki.1000-3703.20250419, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=1753027200000, revisedDateStr=2025-07-21, acceptedDate=null, acceptedDateStr=null, onlineDate=1790172128655, onlineDateStr=2026-09-23, pubDate=1776960000000, pubDateStr=2026-04-24, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790172128655, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790172128655, creator=13701087609, updateTime=1790172128655, updator=13701087609, issue=Issue{id=1309640086191432626, tenantId=1146029695717560320, journalId=1189621681917173762, year='2026', volume='', issue='4', pageStart='1', pageEnd='62', issueExtLink='null', onlineDate='null', pubDate='1776960000000', pubDateStr='2026-04-24', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790172128484, creator='13701087609', updateTime=1790232864374, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309894831258825016, tenantId=1146029695717560320, journalId=1189621681917173762, issueId=1309640086191432626, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309894831258825017, tenantId=1146029695717560320, journalId=1189621681917173762, issueId=1309640086191432626, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=54, endPage=62, ext={EN=ArticleExt(id=1309640087076434813, articleId=1309640086908662652, tenantId=1146029695717560320, journalId=1189621681917173762, language=EN, title=Research on Control Strategy of EMC Test Equipment Based on Fuzzy STSM-LADRC, columnId=null, journalTitle=Automobile Technology, columnName=null, runingTitle=null, highlight=null, articleAbstract=

To address the stringent robustness requirements of electromagnetic compatibility (EMC) test equipment for automotive steering systems in complex environments, this paper proposes a novel active disturbance rejection control strategy that integrates fuzzy control with a super-twisting sliding mode algorithm. Building upon the linear active disturbance rejection control framework, the super-twisting sliding mode algorithm is incorporated into both the extended state observer and the error feedback control law, thereby enhancing the system's dynamic response and disturbance rejection capability. Furthermore, fuzzy control is employed to dynamically optimize key parameters in real time. Matlab simulations demonstrate that the proposed method achieves faster response and stronger anti-interference performance compared to traditional linear active disturbance rejection control. Additionally, to cope with complex EMC environments, an improved power filter is designed to suppress noise. Finally, EMC anechoic chamber tests validate that the developed equipment exhibits high testing accuracy and strong robustness, meeting the testing requirements for vehicle steering systems.

, authors=Xuan Liu¹, Yang Jing¹, Yuqing Liu¹, Xiaojun Zhang¹, Ming Ma², authorsList=Xuan Liu, Yang Jing, Yuqing Liu, Xiaojun Zhang, Ming Ma, authorCompany=null, correspAuthors=Xuan Liu, 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=1309640087290344318, articleId=1309640086908662652, tenantId=1146029695717560320, journalId=1189621681917173762, language=CN, title=基于模糊STSM-LADRC的EMC测试装备控制策略研究, columnId=0, journalTitle=汽车技术, columnName=, runingTitle=null, highlight=null, articleAbstract=

针对汽车转向系统电磁兼容性（EMC）测试装备在复杂环境中的强鲁棒性要求，提出一种融合模糊控制与超螺旋滑模算法的自抗扰控制策略。在线性自抗扰控制基础上，将超螺旋滑模算法引入扩张状态观测器及误差反馈控制律中，提升了系统的动态响应与抗干扰能力，并结合模糊控制实时优化关键参数。MATLAB仿真表明，该方法较传统线性自抗扰控制响应更快、抗干扰能力更强。此外，为应对复杂的EMC环境，设计了改进型电源滤波器以抑制噪声。最终，EMC暗室试验验证了所设计的装备具有高测试精度与强鲁棒性，能够满足车辆转向系统的测试需求。

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