Research on modeling and fault diagnosis of inter-turn short fault of permanent magnet synchronous motor

Author:

Hu Hongqian12,Shi Weifeng1,Venditti Benjamin2

Affiliation:

1. Department of Electrical Automation, Shanghai Maritime University, Shanghai, China

2. Department of Machinery Manufacturing and Automation, Zhejiang Industry Polytechnic College, Shaoxing, Zhejiang, China

Abstract

The stator winding inter-turn short fault of permanent magnet synchronous motor (PMSM) is a common motor fault with high probability. If this fault is not detected and handled in time, small initial fault will rapidly develop into other faults such as grounding short, inter-phase short, winding short et al., and even the motor damage. In order to diagnose the inter-turn short fault of PMSM, this paper firstly builds the model of the inter-turn short fault of PMSM, and then proposes a fast and simple fault diagnosis method for extracting the features of the inter-turn short fault under noise. For the first time, by introducing the full-short-circuit resistance Rf that relates with the fault severity factor δ and by estimating the inductance of inter-turn short fault motor on-line according to the three principles of the inductance calculation, which is used in the inter-turn short fault of transformer winding, the inter-turn short analysis model of PMSM is deduced. The model can be used to simulate the performance not only the health of PMSM but also the fault of inter-turn short fault of PMSM in one phase winding. This paper analyses the transient and steady state performance of 3-phase unbalanced current, speed and electromagnetic torque ripple and the relationship between full-short-circuit resistance and short current under fault condition. Finally, a fast and simple on-line fault diagnosis method of PMSM with inter-turn short fault is proposed based on phase sensitive detection (PSD) algorithm. The method uses the fundamental and third harmonic features of inter-turn short fault current. The simulation results show that the model can be well suited for the simulation of PMSM with inter-turn short fault, and the method can effectively extract the features and diagnose the fault.

Publisher

IOS Press

Subject

Computational Mathematics,Computer Science Applications,General Engineering

Reference27 articles.

1. Inter-turn Fault diagnosis of permanent magnet synchronous machine considering model predictive control;Ding;J. Ei. Zhongguo Dianji Gongcheng Xuebao,2019

2. Review and prospect of low-speed high-torque permanent magnet machines;Bao;J. Ei. Transactions of China Electrotechnical Society,2019

3. Modeling of surface-mounted permanent magnet synchronous machines with stator faults;Romeral;J. Ei. IEEE Trans. Ind. Electron,2011

4. Effects of Inter-turn Short-circuit Fault on Demagnetization of Permanent Magnet Synchronous Machines;Luo;J. Micromotors,2017

5. N. Yassa, M. Rachek and H. Houassine, Motor current signature analysis for the air gap eccentricity detection in the squirrel cage induction machines, J. Sci. Energy Procedia 162 (2019), 251–262.

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