[1] Wang Xiaopeng, Zhao Jun, Wang Bohui, Li Baomin, et al. Predictive current control system of PMSM based on LADRC [J]. Journal of Southeast University (English Edition), 2022, 38 (3): 227-234. [doi:10.3969/j.issn.1003-7985.2022.03.003]

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Predictive current control system of PMSM based on LADRC()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

38

Issue:

2022 3

Page:

227-234

Research Field:

Electrical Engineering

Publishing date:

2022-09-20

Info

Title:

Predictive current control system of PMSM based on LADRC

Author(s):

Wang Xiaopeng;  Zhao Jun;  Wang Bohui;  Li Baomin

School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

Keywords:

permanent magnet synchronous motor(PMSM);  two-vector model predictive current control;  linear active disturbance rejection control;  speed control system

PACS:

TM341

DOI:

10.3969/j.issn.1003-7985.2022.03.003

Abstract:

For a permanent magnet synchronous motor(PMSM)model predictive current control(MPCC)system, when the speed loop adopts proportional-integral(PI)control, speed regulation is easily affected by motor parameters, resulting in the inability to balance the system robustness and dynamic performance. A PMSM optimal control strategy combining linear active disturbance rejection control(LADRC)and two-vector MPCC(TV-MPCC)is proposed. Firstly, a mathematical model of a PMSM is presented, and the PMSM TV-MPCC model is developed in the synchronous rotation coordinate system. Secondly, a first-order LADRC controller composed of a linear extended state observer and linear state error feedback is designed to reduce the complexity of parameter tuning while linearly simplifying the traditional active disturbance rejection control(ADRC)structure. Finally, the conventional PI speed regulator in the motor speed control system is replaced by the designed LADRC controller. The simulation results show that the speed control system using LADRC can effectively deal with the changes in motor parameters and has better robustness and dynamic performance than PI control and similar methods. The system has a fast motor speed response, small overshoot, strong anti-interference, and no steady-state error, and the total harmonic distortion is reduced.

References:

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Memo

Memo:

Biography: Wang Xiaopeng(1969—), male, doctor, professor, wangxiaopeng@mail.lzjtu.cn.
Foundation item: Gansu Province Key R&D Program(No.20YF8GA036).
Citation: Wang Xiaopeng, Zhao Jun, Wang Bohui, et al.Predictive current control system of PMSM based on LADRC[J].Journal of Southeast University(English Edition), 2022, 38(3):227-234.DOI:10.3969/j.issn.1003-7985.2022.03.003.

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