シャ キンカ
Jinhua She
佘 錦華 所属 工学部 機械工学科 職種 教授 |
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言語種別 | 英語 |
発行・発表の年月 | 2018/06 |
形態種別 | 国際会議論文 |
査読 | 査読あり |
標題 | Current Sensor Fault Diagnosis Based on Sliding Mode Observer for Permanent Magnet Synchronous Traction Motor |
執筆形態 | 共著 |
掲載誌名 | The 27th International Symposium on Industrial Electronics (ISIE 2018) |
掲載区分 | 国外 |
出版社・発行元 | IEEE |
巻・号・頁 | pp.835-840 |
担当範囲 | All |
著者・共著者 | Gang Huang, Edwardo F. Fukushima, Jinhua She, and Changfan Zhang |
概要 | This paper presented a current sensor fault detection method based on sliding mode observer (SMO) for closedloop torque control system of permanent magnet synchronous motor (PMSM). A current SMO is constructed in dq coordinate to generate fault residuals of axis current sensors, then online diagnosis of abc phase current sensor fault is realized based on relationship between the residuals and the phase current sensors faults, and fault diagnosis rules. Structure of the designed observer is concise, the theoretical derivation and the process of stability proof are all simple. Simulation and experimental results demonstrate the feasibility and effectiveness of the method. |