期刊
IEEE TRANSACTIONS ON POWER ELECTRONICS
卷 36, 期 3, 页码 2641-2660出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2020.3017637
关键词
Circuit faults; Switches; Fault diagnosis; Fault tolerance; Fault tolerant systems; Windings; Torque; Average current Park' s vector (ACPV); fault diagnosis; fault-tolerant permanent magnet synchronous motor (FTPMSM); open-circuit fault; power switch
资金
- National Natural Science Foundation of China [51707004]
- Aeronautical Science Foundation of China [201907051002]
- Fundamental Research Funds for the Central Universities [YWF20BJJ522]
- National Defense Science and Technology FoundationEnhancement Program [51890882]
This study proposed a new power switch open-circuit fault diagnosis approach for the six-phase fault-tolerant permanent magnet synchronous motor (FTPMSM) system, which can detect and locate the fault using average current Parks vector. The method can effectively detect power switch open-circuit fault online with a simple structure and low computation burden.
In this article, a new power switch open-circuit fault diagnosis approach is proposed for the six-phase fault-tolerant permanent magnet synchronous motor (FTPMSM) system based on average current Parks vector (ACPV), which can detect the fault power switch for the FTPMSM system in both normal and phase open-circuit-short-circuit fault-tolerant operation conditions. To detect the power switch open-circuit fault, the fault detection approach based on the moduli of the ACPV in two orthogonal subspaces is first proposed for the six-phase FTPMSM system even in phase open-circuit and short-circuit fault-tolerant operation. Then, the ACPV-based fault location approach is proposed, which can identify the fault power switch according to the sign symbol of the ACPV. The resulting fault diagnosis approach has a simple structure and low computation burden, which can detect the power switch open-circuit fault online for the FTPMSM system in both normal and fault-tolerant operation conditions. Finally, the effectiveness of the proposed fault diagnosis approach is demonstrated by a six-phase FTPMSM system experimental platform.
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