Model-based Fault Detection of Rotor Position Sensor Fault in Permanent Magnet Synchronous Motor for Electric Vehicle

Nana Zhou*, Lingchao Kong, Jie Fan, Zhenpo Wang

*此作品的通讯作者

科研成果: 期刊稿件会议文章同行评审

1 引用 (Scopus)

摘要

Permanent magnet synchronous motors (PMSMs) are widely used in drive system of electric vehicles (EVs) because of their high efficiency, wild torque range, high power density, etc. However, rotor position, as a very critical parameter for its control strategy, often faces inaccuracies in operation. In this paper, the problem of position sensor fault detection in drive system of EV was studied. The mathematical model of EV with a specific drive system was introduced in discrete form and built in Matlab/Simulink. Based on the field oriented control strategy model, a novel fault detection scheme based on the parity space for the drive system was proposed. The proposed method considered the influence of the closed-loop control to the fault detection result. A residual generator and a residual evaluator were included. The simulation results demonstrated the effectiveness and applicability of the proposed method.

源语言英语
文章编号012060
期刊Journal of Physics: Conference Series
2258
1
DOI
出版状态已出版 - 29 4月 2022
活动2022 5th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2022 - Sanya, 中国
期限: 20 1月 202222 1月 2022

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