A model-free super-twisting fast terminal sliding mode control method for a permanent magnet synchronous motor

被引:0
|
作者
Zhao K. [1 ]
Yi J. [1 ]
Liu W. [1 ]
Qiao M. [1 ]
Zhang C. [1 ]
Wang B. [1 ]
机构
[1] College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou
基金
中国国家自然科学基金;
关键词
extended sliding mode disturbance observer; permanent magnet synchronous motor; super-twisting fast terminal sliding mode controller; ultra-local model;
D O I
10.19783/j.cnki.pspc.230398
中图分类号
学科分类号
摘要
There is a problem of interior permanent magnet synchronous motor (IPMSM) control performance degradation due to various uncertainties such as internal parameter changes and external disturbances. Thus a model-free super-twisting fast terminal sliding mode control method is proposed. First, a new ultra-local model is established for IPMSM considering its uncertainty. The model-free super-twisting fast terminal sliding mode controller is designed by combining the super-twisting algorithm with the fast terminal switching function to ensure that the system state can reach the steady state in a finite time and effectively reduce chattering. Second, an extended sliding mode disturbance observer is designed to estimate the unknown part of the ultra-local model accurately, and feedforward compensation is performed to the designed controller. This further improves the anti-interference ability and system tracking performance. Finally, by comparing with PI control and conventional model-free sliding mode control methods, the simulation and experimental results verify that the presented method has faster convergence and stronger robustness. © 2023 Power System Protection and Control Press. All rights reserved.
引用
收藏
页码:88 / 98
页数:10
相关论文
共 34 条
  • [1] ZENG Xiaoli, WANG Weiqing, WANG Haiyun, Sliding mode compensation control of a permanent magnet synchronous motor based on a new voltage control law, Power System Protection and Control, 51, 10, pp. 153-162, (2023)
  • [2] GUO Leilei, XU Zhiye, LI Yanyan, Et al., Multi-sampling model predictive control for permanent magnet synchronous motor under low switching-to-fundamental frequency ratio, Smart Power, 49, 6, pp. 91-98, (2021)
  • [3] LI Siyi, SU Jianyong, YANG Guijie, Flux weakening control strategy of permanent magnet synchronous motor based on active disturbance rejection control, Transactions of China Electrotechnical Society, 37, 23, pp. 6135-6144, (2022)
  • [4] XIE Zhen, CUI Jian, LI Zhe, Et al., Fault ride-through strategy of voltage-controlled doubly-fed wind turbine based on improved active disturbance rejection, Automation of Electric Power Systems, 46, 21, pp. 160-169, (2022)
  • [5] ZHOU Xuesong, GUO Shuaichao, MA Youjie, Et al., Control strategy of cascade improved active disturbance rejection based on three phase converter system, Smart Power, 50, 8, pp. 61-67, (2022)
  • [6] ZHANG Rongyun, ZHOU Chenglong, SHI Peicheng, Et al., Multi-PMSM synchronous control based on adaptive integral sliding mode and disturbance observation, Power System Protection and Control, 50, 20, pp. 127-138, (2022)
  • [7] ZHOU Lin, LU Zhilin, LIU Bin, Coordinated operation of multi-microgrid scheduling and control based on reactive current adaptive droop coefficient control, Smart Power, 50, 11, pp. 41-47, (2022)
  • [8] WANG Hui, ZHAO Shuqiang, MENG Jianhui, Et al., Adaptive virtual inertia control for DC microgrid based on droop curve intercept adjustment, Automation of Electric Power Systems, 45, 24, pp. 97-105, (2021)
  • [9] WEI Huifang, WANG Limei, Adaptive fuzzy neural network time-varying sliding mode control for permanent magnet linear synchronous motor, Transactions of China Electrotechnical Society, 37, 4, pp. 861-869, (2022)
  • [10] YANG Yonghui, XIE Lirong, LI Jiaming, Et al., Integrated control strategy of energy storage participating in primary frequency regulation based on fuzzy control, Smart Power, 51, 4, pp. 38-45, (2023)