Modeling and Diagnosis of the Inter-Turn Short Circuit Fault for the Sensorless Input-Output Linearization Control of the PMSM

  • Yacine Maanani LGEB Laboratory, Department of Electrical Engineering, Faculty of Science and Technology, University of Biskra, Biskra University, BP 145, Biskra 07000, Algeria https://orcid.org/0000-0001-7008-0868
  • Arezki Menacer LGEB Laboratory, Department of Electrical Engineering, Faculty of Science and Technology, University of Biskra, Biskra University, BP 145, Biskra 07000, Algeria

Abstract

The purpose of this paper is the inter-turn short circuit fault Modeling and detection for the sensorless input-output linearization control of the permanent magnet synchronous motor (PMSM) based on the Extended Kalman Filter observer (EKF). The fault detection procedures are based through the estimation of the stator resistance variation by the Extended Kalman Filter observer and the Fast Fourier Transformer (FFT) for the stationary state, and the Discrete Wavelet Transform (DWT) analysis of the electrical characteristics of the PMSM, for the non-stationary state. However, the FFT spectral analysis and the DWT is a useful solution to ensure that the variation of the stator resistance estimation is caused by the inter-turn short circuit fault. The effectiveness of the sensorless control and the fault detection techniques are presented in a simulation in MATLAB/Simulink environment.

Keywords: permanent magnet synchronous machine (PMSM), inter-turn short circuit, sensorless input-output control, fault detection, extended kalman filter (EKF), stator resistance estimation, FFT, DWT
Published online
2019-03-27
How to Cite
Maanani, Y. and Menacer, A. (2019) “Modeling and Diagnosis of the Inter-Turn Short Circuit Fault for the Sensorless Input-Output Linearization Control of the PMSM”, Periodica Polytechnica Electrical Engineering and Computer Science, 63(3), pp. 159-168. doi: https://doi.org/10.3311/PPee.13658.
Section
Articles