Sliding mode control with an adaptive switching power reaching law

被引:0
|
作者
Shijiao Wang
Chengming Jiang
Qunzhang Tu
Changlin Zhu
机构
[1] Army Engineering University of PLA,College of Field Engineering
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
This paper proposes a adaptive reaching law-based sliding mode control (SMC) method for maintaining favorable velocity control performance of permanent magnet synchronous motors (PMSMs) under internal and external perturbations. An adaptive switching power reaching law (ASPRL) is designed, which contains adaptive terms and state variables of the sliding mode surface function. This augmented reaching law decreases the chatter of the control system and increases the rate at which the state variables of the system reach the sliding mode surface. Additionally, a Luenberger observer load torque (LOLT) is designed to observe the external load and provide feedback to the velocity controller, reducing the impact of load disturbances and improving the jamming performance of the controller. Simulation experiments confirm that ASPRL reduces buffeting, decreases overshoot, and shortens response time, demonstrating its advantages in PMSM control.
引用
收藏
相关论文
共 50 条
  • [41] Sliding Mode Control Using Power Rate Exponential Reaching Law for Urban Platooning
    Iyer, Ajay G.
    Samantaray, Jagannath
    Ghosh, Samsaptak
    Dey, Arnab
    Chakrabarty, Sohom
    IFAC PAPERSONLINE, 2022, 55 (01): : 516 - 521
  • [42] Adaptive Quick Sliding Mode Reaching Law and Disturbance Observer for Robust PMSM Control Systems
    Ahn, Hyeongki
    Kim, Sangkyeum
    Park, Jihoon
    Chung, Yoonuh
    Hu, Mingyuan
    You, Kwanho
    ACTUATORS, 2024, 13 (04)
  • [43] Adaptive reaching law based sliding mode control for electromagnetic formation flight with input saturation
    Huang, Xianlin
    Zhang, Chun
    Lu, Hongqian
    Li, Mingming
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2016, 353 (11): : 2398 - 2417
  • [44] RBF Network Adaptive Sliding Mode Control of Ball and Plate System Based on Reaching Law
    Jiang-Feng Li
    Feng-Hong Xiang
    Arabian Journal for Science and Engineering, 2022, 47 : 9393 - 9404
  • [45] Sliding mode control based on particle swarm optimization neural network and adaptive reaching law
    Chen, Jiqing
    Zhang, Haiyan
    Pan, Shangtao
    Tang, Qingsong
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2024, 46 (04) : 741 - 751
  • [46] Adaptive reaching law sliding mode position control of PMLSM based on nonlinear dynamics model
    Jin, Hongyan
    Ma, Kuo
    Lei, Zijia
    Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2024, 28 (08): : 50 - 60
  • [47] Adaptive sliding mode control of electromechanical servo system based on variable rate reaching law
    Chen Q.
    Cao Y.-Q.
    Wu C.
    Kongzhi yu Juece/Control and Decision, 2022, 37 (04): : 1067 - 1073
  • [48] Sliding Mode Control for Uncertain Discrete-Time Systems Using an Adaptive Reaching Law
    Ma, Haifeng
    Xiong, Zhenhua
    Li, Yangmin
    Liu, Zhanqiang
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2021, 68 (02) : 722 - 726
  • [49] Adaptive synchronisation of unified chaotic system via sliding mode control with cubic reaching law
    Pal P.
    Mukherjee V.
    Bhakta S.
    Australian Journal of Electrical and Electronics Engineering, 2021, 18 (02): : 104 - 117
  • [50] RBF Network Adaptive Sliding Mode Control of Ball and Plate System Based on Reaching Law
    Li, Jiang-Feng
    Xiang, Feng-Hong
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2022, 47 (08) : 9393 - 9404