MRAS-based Self-tuning Speed Control for PMSM with Variation of Load-torque

被引:0
|
作者
Jo H.J. [1 ]
Yi K.Y. [1 ]
Joo Y.H. [2 ]
机构
[1] School of IT Information and Control Engineering, Kunsan National University, Gunsan-Si
[2] Dept. of Electrical Engineering, KwangWoon University, Seoul
关键词
Key Words Permanent magnet synchronous motor; Model reference adaptive system; PI speed control; Speed control;
D O I
10.5370/KIEE.2022.71.8.1142
中图分类号
学科分类号
摘要
In this paper, we present the model reference adaptive system (MRAS)-based self-tuning speed control method for permanent magnet synchronous motor (PMSM) with a variety of load torque. To do this, the dynamic model of the PMSM is firstly formulated in a d-q reference frame linked with the rotor. Next, the self-tuning propositional-integral (PI) speed control is proposed for regulating the rotor speed of PMSM. While self-tuning PI speed control strategy enhances the performance of PMSM with a complete model-free approach. The electrical angle and rotor speed are effectively estimated by the MRAS-based control strategy. Then, the stable self-tuning method is used to update the control gains to enhance the ability of speed control performance in PMSM. Finally, the effectiveness and robustness of the proposed control techniques is demonstrated through some simulations using mahematical PMSM model. © 2022 Korean Institute of Electrical Engineers. All rights reserved.
引用
收藏
页码:1142 / 1150
页数:8
相关论文
共 50 条
  • [31] Speed-Sensorless Control of Induction Motor Drive using MRAS-Neural Self-Tuning IP Obsrever
    Chekroun, Soufyane
    Zerikat, Mokhtar
    Benharir, Nedjadi
    PRZEGLAD ELEKTROTECHNICZNY, 2018, 94 (12): : 14 - 17
  • [32] Speed Control of DC Motor with Self-Tuning Controller
    Emiroglu, Alperen
    Yaren, Tugce
    Kizir, Selcuk
    JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI, 2022, 25 (02): : 757 - 765
  • [33] Performance Comparison of Different Estimation Techniques of the External Load-torque applied on a PMSM using Direct Flux Control
    Fabbri, Stefano
    D'Amato, Davide
    Palmieri, Marco
    Cupertino, Francesco
    Nienhaus, Matthias
    Grasso, Emanuele
    2020 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS, ELECTRICAL DRIVES, AUTOMATION AND MOTION (SPEEDAM 2020), 2020, : 688 - 693
  • [34] Mill load control strategy based on fuzzy self-tuning and sampling fuzzy control
    Jia, L. (lxjia@mail.xjtu.edu.cn), 1600, Central South University of Technology (44):
  • [35] Model Predictive Direct Speed Control of PMSM with Load Torque Compensation
    Yahia, Tarek
    Ahmed, Abdelsalam A.
    Elzawawi, Amr
    Ahmed, M. M.
    2021 24TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2021), 2021, : 1335 - 1341
  • [36] Modified Model Reference Adaptive Sensorless Control of PMSM Driven LEV with Online Self-Tuning Speed Controller
    Kumar, Sumit
    Singh, Bhim
    2022 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS, PEDES, 2022,
  • [37] ADAPTIVE INTEGRAL BACKSTEPPING CONTROL OF PMSM WITH DIFFERENTIAL TERMS BASED ON PARAMETERS FUZZY SELF-TUNING
    Wang, Weiran
    Tan, Fei
    Ge, Huilin
    Wu, Jiaxin
    Zhang, Yi
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2019, 15 (06): : 2165 - 2181
  • [38] On-line self-tuning of PI controller for PMSM drives based on the iterative learning control
    Yang, M
    Gao, Y
    Xu, DG
    Yu, Y
    APEC 2005: TWENTIETH ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION, VOLS 1-3, 2005, : 1889 - 1893
  • [39] Design of a Fuzzy Logic-based MPPT Controller for a PV System Employing Sensorless Control of MRAS-based PMSM
    Anwer, Abbas Mahmood Oghor
    Omar, Fuad Alhaj
    Kulaksiz, Ahmet Afsin
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2020, 18 (11) : 2788 - 2797
  • [40] Pole placement self-tuning feedforward control of PMSM with neural-network-based observer
    Li, Hong-Ru
    Wang, Jian-Hui
    Wang, Jue
    Gu, Shu-Sheng
    Kongzhi yu Juece/Control and Decision, 2001, 16 (SUPPL.): : 681 - 684