Current Sensor Fault Diagnosis and Tolerant Control for Nine-Phase PMSM Drives Based on Improved Axis Rotation

Xudong Zhang, Xiaoming Liu and Xiaoqin Zheng
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Xudong Zhang: College of Electrical Engineering, Qingdao University, Qingdao 266071, China
Xiaoming Liu: College of Electrical Engineering, Qingdao University, Qingdao 266071, China
Xiaoqin Zheng: College of Electrical Engineering, Qingdao University, Qingdao 266071, China

Energies, 2022, vol. 15, issue 13, 1-15

Abstract: Fault probability rises with an increase in the number of current sensors in multi-phase permanent synchronous motor (PMSM) drives. This paper proposes an improved axis rotation method for fault diagnosis and tolerant control to make the multi-phase PMSM drives against current sensor loss signal and gain faults. This method can effectively diagnose and distinguish faults without selecting a threshold value, and the degree of fault can be further estimated. The proposed method makes current sensor fault diagnosis and tolerant control become an integrated module. The validity and accuracy of the proposed method is verified by different fault diagnoses and tolerant control experiments of a 9 kw nine-phase PMSM drive.

Keywords: multi-phase motor drives; improved axis rotation; current sensor faults; fault tolerant control; faults degree estimation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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