{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T09:07:46Z","timestamp":1774084066958,"version":"3.50.1"},"reference-count":18,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2016,1,30]],"date-time":"2016-01-30T00:00:00Z","timestamp":1454112000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper deals with a current sensor fault reconstruction algorithm for the torque closed-loop drive system of an interior PMSM. First, sensor faults are equated to actuator ones by a new introduced state variable. Then, in \u03b1\u03b2 coordinates, based on the motor model with active flux linkage, a current observer is constructed with a specific sliding mode equivalent control methodology to eliminate the effects of unknown disturbances, and the phase current sensor faults are reconstructed by means of an adaptive method. Finally, an \u03b1\u03b2 axis current fault processing module is designed based on the reconstructed value. The feasibility and effectiveness of the proposed method are verified by simulation and experimental tests on the RT-LAB platform.<\/jats:p>","DOI":"10.3390\/s16020178","type":"journal-article","created":{"date-parts":[[2016,2,1]],"date-time":"2016-02-01T10:03:26Z","timestamp":1454321006000},"page":"178","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Current Sensor Fault Reconstruction for PMSM Drives"],"prefix":"10.3390","volume":"16","author":[{"given":"Gang","family":"Huang","sequence":"first","affiliation":[{"name":"School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China"},{"name":"College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1396-5090","authenticated-orcid":false,"given":"Yi-Ping","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chang-Fan","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"He","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi-Shan","family":"Huang","sequence":"additional","affiliation":[{"name":"Hunan CSR Times Electric Vehicle Co., Ltd, Zhuzhou 412007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,1,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2815","DOI":"10.1109\/TVT.2010.2050014","article-title":"An Adaptive Fault-Tolerant Multi Sensor Navigation Strategy for Automated Vehicles","volume":"59","author":"Li","year":"2010","journal-title":"IEEE Trans. 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