Novel dual-sliding mode sensorless vector control strategy for permanent magnet synchronous motorized spindles

被引:0
|
作者
Shan, Wentao [1 ]
Zhao, Jingqian [1 ]
Han, Zhenhua [1 ]
机构
[1] Jiangsu Univ Technol, Sch Mech Engn, Changzhou 213000, Peoples R China
基金
中国国家自然科学基金;
关键词
Permanent magnet synchronous motorized spindle (PMSMS); Terminal sliding mode control (TSMC); Sliding mode observer (SMO); Sensorless vector control; Phase-locked loop (PLL);
D O I
10.1007/s12206-024-1140-7
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
To solve the problems of overshoot, chattering, and slow response in the traditional sensorless control scheme based on sliding mode observer with PI controller, a novel dual-sliding mode sensorless vector control (NDSMSVC) strategy for permanent magnet synchronous motorized spindle (PMSMS) is proposed. Based on the PMSMS mathematical model, the terminal sliding mode controller and sliding mode observer models are successively established. To solve the singularity problem, the NTSM surface function is redefined. In designing the speed controller, the reaching law is incorporated, and the sigmoid (s) function is used to improve the discontinuities in control. ISMO integrated a phase-locked loop that extracts the rotor position and speed, which enhances the observation accuracy. The validation was carried out in the laboratory using a high-speed electric spindle (FL170-20-15). The experiments show that the proposed strategy is able to achieve the desired results and accurately track the rotor position and speed compared to the existing schemes.
引用
收藏
页码:6895 / 6905
页数:11
相关论文
共 50 条
  • [41] Sliding Mode Vector Control of Non-Sinusoidal Permanent Magnet Synchronous Machine
    Monteiro, Jose Roberto B. A.
    de Castro, Allan G.
    de Almeida, Thales E. P.
    2017 XIV BRAZILIAN POWER ELECTRONICS CONFERENCE (COBEP), 2017,
  • [42] Research on a Permanent Magnet Synchronous Motor Sensorless Anti-Disturbance Control Strategy Based on an Improved Sliding Mode Observer
    Du, Shenhui
    Liu, Yang
    Wang, Yao
    Li, Ying
    Yan, Zhibang
    ELECTRONICS, 2023, 12 (20)
  • [43] Sensorless Control Strategy of Permanent Magnet Synchronous Motor Based on Adaptive Super-Twisting Algorithm Sliding Mode Observer
    Zou, Xinhong
    Ding, Hongchang
    Li, Jinhong
    JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, 2024, 35 (01) : 163 - 179
  • [44] Sensorless Control Strategy of Permanent Magnet Synchronous Motor Based on Adaptive Super-Twisting Algorithm Sliding Mode Observer
    Xinhong Zou
    Hongchang Ding
    Jinhong Li
    Journal of Control, Automation and Electrical Systems, 2024, 35 : 163 - 179
  • [45] Research on cascade spiral sliding mode control strategy of permanent magnet synchronous motor
    Cheng Q.
    Liu K.
    Zhang X.
    Cheng Y.
    Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2023, 27 (06): : 116 - 126
  • [46] Fuzzy super twist sliding mode control strategy for permanent magnet synchronous motor
    Zhou, Kai
    Wang, Hanfeng
    Sun, Dongyang
    Jin, Ningzhi
    INTERNATIONAL JOURNAL OF ELECTRIC AND HYBRID VEHICLES, 2021, 13 (3-4) : 344 - 361
  • [47] New reaching law sliding mode control strategy for permanent magnet synchronous motor
    Wang Y.
    Zhu Y.
    Feng Y.
    Tian B.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2021, 41 (01): : 192 - 197
  • [48] A Second-order Continuous Sliding Mode Observer for Sensorless Permanent Magnet Synchronous Motor Control
    Lin, Xinpo
    Yao, Weiran
    Liu, Fagang
    Liu, Jianxing
    Sun, Guanghui
    Leon, Jose, I
    Wu, Ligang
    PROCEEDINGS OF 2021 IEEE 30TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2021,
  • [49] Implicit Euler Discretization for Enhanced Sliding Mode Observer in Sensorless Permanent Magnet Synchronous Motor Control
    Baiomy, Nehal
    Abdelhafiz, Mohamed Mahmoud
    Mahgoub, Abdelmomen
    IEEE ACCESS, 2025, 13 : 4304 - 4314
  • [50] Sensorless Vector Control of Permanent Magnet Synchronous Motor Based on DSP
    Peng, Jiageng
    Zhang, Nianzhong
    He, Lin
    Shi, Qin
    Lu, Jijun
    2019 3RD CONFERENCE ON VEHICLE CONTROL AND INTELLIGENCE (CVCI), 2019, : 355 - 358