|
|
Iterative super-twisting sliding mode control for permanent magnet linear synchronous motor |
HE Yuxiao, WANG Limei |
School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870 |
|
|
Abstract In order to solve the problem that the position tracking accuracy of permanent magnet linear synchronous motor (PMLSM) servo system is affected by periodic disturbance, parameters change, friction and other uncertain factors, an iterative super-twisting sliding mode control method is proposed. The super-twisting sliding mode control is used to restrain the influence of uncertain factors and enhance the robustness of the system. Iterative learning is used to compensate periodic disturbance and a new learning law is adopted to reduce chattering. Based on Lyapunov stability theory, the stability of the control system is analyzed and proved. Simulation results show that the proposed control method can improve the robustness and improve position tracking accuracy of PMLSM servo system.
|
Received: 24 January 2022
|
|
|
|
Cite this article: |
HE Yuxiao,WANG Limei. Iterative super-twisting sliding mode control for permanent magnet linear synchronous motor[J]. Electrical Engineering, 2022, 23(6): 24-29.
|
|
|
|
URL: |
http://dqjs.cesmedia.cn/EN/Y2022/V23/I6/24
|
[1] 王璨, 李国冲, 杨桂林, 等. 基于生物智能环状耦合的嵌入式永磁同步直线电机高精度位置协同控制研究[J]. 电工技术学报, 2021, 36(5): 935-943. [2] 卢琴芬, 沈燚明, 叶云岳. 永磁直线电动机结构及研究发展综述[J]. 中国电机工程学报, 2019, 39(9): 2575-2588. [3] 张圳, 王丽梅. 永磁同步直线电机自组织概率型模糊神经网络控制[J]. 电气技术, 2020, 21(12): 1-5, 16. [4] 刘乐, 宋红姣, 方一鸣, 等. 基于ELM的永磁直线同步电机位移跟踪动态面反步滑模控制[J]. 控制与决策, 2020, 35(10): 2549-2555. [5] 付东学, 赵希梅. 永磁直线同步电机自适应非奇异快速终端滑模控制[J]. 电工技术学报, 2020, 35(4): 43-49. [6] 张育增, 周睿智, 李帅. 永磁同步直线电机模糊滑模速度控制研究[J]. 电气技术, 2020, 21(12): 23-29. [7] CHEN S Y, CHIANG H H, LIU T S, et al.Precision motion control of permanent magnet linear syn- chronous motors using adaptive fuzzy fractional-order sliding-mode control[J]. IEEE/ASME Transactions on Mechatronics, 2019, 24(2): 741-752. [8] 刘畅, 杨锁昌, 汪连栋, 等. 基于快速自适应超螺旋算法的制导律[J]. 北京航空航天大学学报, 2019, 45(7): 1388-1397. [9] CHALANGA A, KAMAL S, FRIDMAN L M, et al.Implementation of super-twisting control: super- twisting and higher order sliding-mode observer-based approaches[J]. IEEE Transactions on Industrial Elec- tronics, 2016, 63(6): 3677-3685. [10] HOU Qiankang, DING Shihong.GPIO based super- twisting sliding mode control for PMSM[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2021, 68(2): 747-751. [11] EL-SOUSY F F M, ALENIZI F A F. Optimal adaptive super-twisting sliding-mode control using online actor- critic neural networks for permanent-magnet syn- chronous motor drives[J]. IEEE Access, 2021, 9: 82508-82534. [12] 杨亮亮, 王杰, 王飞, 等. 基于最优控制迭代学习的直线伺服系统振动抑制研究[J]. 机械工程学报, 2019, 55(15): 217-225. [13] 方一鸣, 张文健, 李建雄, 等. 伺服电机驱动的连铸结晶器振动位移系统前馈+迭代学习复合控制[J]. 电机与控制学报, 2020, 24(12): 130-141. [14] SONG Fazhi, LIU Yang, XU Jianxin, et al.Iterative learning identification and compensation of space- periodic disturbance in PMLSM systems with time delay[J]. IEEE Transactions on Industrial Electronics, 2018, 65(9): 7579-7589. [15] HUI Yu, CHI Ronghu, HUANG Biao, et al.Extended state observer-based data-driven iterative learning control for permanent magnet linear motor with initial shifts and disturbances[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51(3): 1881-1891. [16] 张康, 王丽梅. 基于周期性扰动学习的永磁直线电机自适应滑模位置控制[J]. 电机与控制学报, 2021, 25(8): 132-141. |
|
|
|