Magnet Fault Diagnosis for Permanent Magnet Synchronous Motor Based on Flux Estimation With PWM Voltage Measurement

被引:1
|
作者
Yi, Chen-Pei [1 ]
Lin, Yi-Jen [1 ]
Ho, Ping-Jui [1 ]
Yang, Shih-Chin [1 ]
机构
[1] Natl Taiwan Univ, Dept Mech Engn, Taipei 10617, Taiwan
关键词
Fault diagnosis; magnet defect; permanent magnet (PM) motor; pulse width modulation (PWM) voltage measurement; ROTOR;
D O I
10.1109/TIE.2024.3426031
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article proposes an online magnet fault detection for standard permanent magnet (PM) synchronous motors. The proposed detection is based on the magnet flux estimation with pulse width modulation (PWM) voltage measurement. This magnet fault detection can be easily implemented into existing motor drive microcontroller (MCU). On this basis, the PM motor flux waveform is analyzed considering both uniform demagnetization (UD) fault and local demagnetization (LD) fault. After that, the magnet flux is real-time estimated through the voltage-based flux observer. It is shown that the estimated flux magnitude is decreased if UD fault occurs. By contrast, high-order flux harmonics are resultant during the appearance of LD fault. Because the flux deviation reflected by either UD or LD faults is sufficiently small, the motor phase PWM voltage is measured for the flux estimation independent of the inverter nonlinearity. Three interior PM (IPM) motors with different magnet fault conditions are customized for experimental verification. By using the proposed magnet flux estimation, both magnet faults are detected under full operation region.
引用
收藏
页码:2100 / 2110
页数:11
相关论文
共 50 条
  • [1] Fault diagnosis of permanent magnet synchronous motor
    Zhou, Lidan
    Dai, Shufang
    Yao, Gang
    IEICE ELECTRONICS EXPRESS, 2024, 21 (08):
  • [2] Tooth flux analysis and eccentricity fault diagnosis for permanent magnet synchronous motor
    Zeng C.
    Huang S.
    Yang Y.
    Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2020, 52 (03): : 186 - 194
  • [3] Analysis of Permanent Magnet Synchronous Motor Fault Diagnosis Based on Learning
    Kao, I-Hsi
    Wang, Wei-Jen
    Lai, Yi-Horng
    Perng, Jau-Woei
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 68 (02) : 310 - 324
  • [4] Fault Diagnosis for Permanent Magnet Synchronous Motor With Demagnetization Fault and Sensor Fault
    Kang, Yunfeng
    Yao, Lina
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 73
  • [5] Fault Diagnosis of Permanent Magnet Synchronous Motor Based on Stacked Denoising Autoencoder
    Xu, Xiaowei
    Feng, Jingyi
    Zhan, Liu
    Li, Zhixiong
    Qian, Feng
    Yan, Yunbing
    ENTROPY, 2021, 23 (03)
  • [6] Fault Diagnosis and Fault Frequency Determination of Permanent Magnet Synchronous Motor Based on Deep Learning
    Wang, Chiao-Sheng
    Kao, I-Hsi
    Perng, Jau-Woei
    SENSORS, 2021, 21 (11)
  • [7] Fault Diagnosis Method of Permanent Magnet Synchronous Motor for Electrical Vehicle
    Yoo, Jin-Hyung
    Jung, Tae-Uk
    JOURNAL OF MAGNETICS, 2016, 21 (03) : 413 - 420
  • [8] Intelligent Fault Diagnosis Research for Permanent Magnet Linear Synchronous Motor
    Wang Fuzhong
    Yuan Shiying
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 1951 - +
  • [9] Open-Circuit Fault Diagnosis for Permanent Magnet Synchronous Motor Drives Based on Voltage Residual Analysis
    Wang, Bo
    Feng, Xiaobao
    Wang, Rongxin
    ENERGIES, 2023, 16 (15)
  • [10] Fault Diagnosis of Permanent Magnet Synchronous Motor Based on Improved Probabilistic Neural Network
    Dai, Xuesong
    Zhang, Yuxian
    Qiao, Likui
    Sun, Deyuan
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 2767 - 2772