Detecting of Multi Phase Inter Turn Short Circuit in the Five Permanent Magnet Synchronous Motor

Author:

Yassa N.,Rachek M.,Djerdir A.,Becherif M.

Abstract

Abstract This paper proposes a general model of five phase permanent magnet synchronous machine (PMSM) which is capable of representing the multiphase Inter Turn Short Circuit (ITSC) occurring in several phase simultaneously this model is based on a coupled magnetic circuit approach leading to a differential equations system goveming the induction machine behavior. The obtained time-differential state equations system is implemented under Matlab environment and numerically solved using the fourth order Rung-Kutta method with variable step time corrected at each rotor displacement through the electromagnetic torque. Also, Fast Fourier Transform and (FFT) analysis is performed to the phase current signal to detect the frequency spectrum, Power Spectral Density (PSD) is chosen as a classification method. Its efficiency depends on its ability to discriminate between various faults generating the same range of harmonics in the stator current spectrum and on its ability to evaluate the fault severity. So, in order to improve the efficiency of these diagnosis methods, one needs a relatively accurate model to simulate the five-phase PMSM in the case of inter-tum short circuit fault helping to predict performances andor to extract fault signature in the machine main quantities. Simulation work has been carried out using MATLAB to verify the performance of the proposed detection/diagnosis method.

Publisher

Walter de Gruyter GmbH

Subject

Energy Engineering and Power Technology

Reference30 articles.

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1. A Machine-Learning-Based Interturn Short-Circuit Diagnosis for Multi-Three-Phase Brushless Motors;IEEE Journal of Emerging and Selected Topics in Industrial Electronics;2023-07

2. Intelligent ITSC Fault Detection in PMSG Using the Machine Learning Technique;Communications in Computer and Information Science;2023

3. Research on modeling and fault diagnosis of inter-turn short fault of permanent magnet synchronous motor;Journal of Computational Methods in Sciences and Engineering;2020-09-30

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