Sensorless control of permanent magnet synchronous motor based on interacting multiple model extended Kalman filter

• Autorzy: Li Yong , An Jiexin , Hu Han , Xu Xing

Identyfikatory

DOI

10.24425/mms.2025.154339

• Języki publikacji: EN

Abstrakty

EN

Aiming at the problems of low estimation accuracy and narrow application range of sensorless control caused by inverter nonlinearity and motor parameter error, this paper studies a sensorless control technology of permanent magnet synchronous motor based on an interactive multi-model extended Kalman filter algorithm to realize high-precision and high-performance sensorless control of a permanent-magnet synchronous motor. Firstly, considering the influence of inverter nonlinearity, the mathematical model of PMSM including inverter disturbance voltage is established. Secondly, an interactive multi-model extended Kalman filter observer is designed based on this model to achieve high-precision sensorless control of PMSM. Thirdly, the nonlinear disturbance voltage of the inverter is fed back to the control system for dead-time compensation, thus eliminating the voltage disturbance caused by the dead-time effect. Finally, simulation experiments and dual-motor towing experiments demonstrate the efficacy of the interactive multi-model extended Kalman filter sensorless control algorithm in mitigating the effects of dead time. The results indicate that the proposed algorithm exhibits high precision in speed and angle estimation, robust anti-disturbance capabilities, and excellent overall performance.

Słowa kluczowe

EN

permanent magnet synchronous motor; sensorless control; extended Kalman filter algorithm; inverter nonlinearity; dead-time compensation

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2025
• Tom: Vol. 32, nr 2
• Strony: 1--18
• Opis fizyczny: Bibliogr. 21 poz., rys., tab., wykr., wzory

Twórcy

autor

Li Yong

• Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China

autor

An Jiexin

• Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China

autor

Hu Han

• Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China

autor

Xu Xing

• Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China

• https://orcid.org/0000-0002-1867-6207

Bibliografia

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Uwagi

This work was supported by the National Key R&D Program of China (Grant number 2023YFB4706900, 2021YFB2501700), the National Natural Science Foundation of China (Grant number 51705213) and the State Key Laboratory of Intelligent Green Vehicle and Mobility (Grant number KFY2409).