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Fault Diagnosis for PMSM under Interturn Short-Circuit

Title
Fault Diagnosis for PMSM under Interturn Short-Circuit
Authors
이제원
Date Issued
2016
Publisher
포항공과대학교
Abstract
This thesis proposes a model-based detection method for single interturn short-circuit fault in a permanent magnet synchronous motor (PMSM) with multi-windings in each phase. The proposed method consists of the proposed fault index and the estimation method for the fault index and the fault phase. Interturn short-circuit fault in PMSM is described in terms of two parameters: a ratio of shorted turns to total turns (u), and a resistance of insulation between shorted turns (Rf). u and Rf are ideal fault indices representing the severity of the fault; however, they are not identifiable from the fault model developed in [22]. This will be proved through the analysis of the fault model. Instead, this thesis proposes fault index G with identifiability for the multi-windings PMSM. The fault index has the proportionality to u and 1/Rf, and has a constant value if u, Rf, and Rs are not changed. As a result, the fault index does not affected by the operation of the PMSM, and describes severity of the fault due to mild insulation degradation (Rf >> 0). As a result, the proposed method can detect the interturn short-circuit fault before insulation breakdown, and can estimate its severity and the faulty phase. The estimation method estimates the faulty phase and the value of G. The method uses the PMSM parameters. However, the parameters can be changed, and these changes cause the uncertainties of the parameters. Previous works in this area have suffered from the uncertainties, which can lead to misdiagnosis. The proposed method identify the q-axis inductance (Lq) of the faulty PMSM to solve this problem. The q-axis current is used to estimate the faulty phase, the values of G and Lq. 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 Lq identification significantly compensates for the estimation errors due to the parameter uncertainties in the high-speed operation. The experimental results demonstrate that the proposed method can estimate the faulty phase, G, and Lq besides exhibiting robustness against the parameter uncertainties.
URI
http://postech.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002228935
https://oasis.postech.ac.kr/handle/2014.oak/93239
Article Type
Thesis
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