A Torque Angle-Based Fault Detection and Identification Technique for IPMSM

Abstract

Condition monitoring of the stator and rotor problems such as interturn short fault (ITSF) and partial irreversible demagnetization fault (PIDF) in an interior permanent magnet synchronous motor (IPMSM) is essential for achieving high efficiency and reliability. This article presents a torque angle-based inverter-embedded technique for the online detection and identification of ITSF and PIDF. This technique monitors the deviation in the torque angle caused due to ITSF and PIDF at a certain operating point. In steady-state operation, the torque angle decreases from its original value (healthy state) due to ITSF while increases in the case of PIDF. This particular trend of torque angle is used for the detection and identification of ITSF and PIDF. In this article, the torque angle for a healthy IPMSM is first obtained using multivariate regression analysis over the entire operating region and then compared with the torque angle during operation for any potential variation. The proposed method is verified using a finite-element method-based simulation and experiment on a 400-W IPMSM. The results suggest that the proposed method can be a viable candidate for efficient ITSF and PIDF detection and identification in real time.