Robust Diagnosis Method Based on Parameter Estimation for an Interturn Short-Circuit Fault in Multipole PMSM under High-Speed Operation

Sensors

Jewon Lee²  Seokbae Moon²  Hyeyun Jeong²  Sang Woo Kim¹ 

[1] Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Room 304, LG Cooperative Electronics Engineering Building, 77 Cheongam-Ro, Nam-Gu, Pohang 37673, Korea;

关键词: permanent magnet synchronous motor;    interturn short;    fault detection;    diagnosis;    fault index;    parameter identification;   

DOI  :  10.3390/s151129452

来源: mdpi

【 摘 要 】

This paper proposes a diagnosis method for a multipole permanent magnet synchronous motor (PMSM) under an interturn short circuit fault. Previous works in this area have suffered from the uncertainties of the PMSM parameters, which can lead to misdiagnosis. The proposed method estimates the q-axis inductance (L_q) of the faulty PMSM to solve this problem. The proposed method also estimates the faulty phase and the value of G, which serves as an index of the severity of the fault. The q-axis current is used to estimate the faulty phase, the values of G and L_q. For this reason, two open-loop observers and an optimization method based on a particle-swarm are implemented. The q-axis current of a healthy PMSM is estimated by the open-loop observer with the parameters of a healthy PMSM. The L_q estimation significantly compensates for the estimation errors in high-speed operation. The experimental results demonstrate that the proposed method can estimate the faulty phase, G, and L_q besides exhibiting robustness against parameter uncertainties.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.