Discrete-Time Fractional Order Integral Sliding Mode Control of an Antagonistic Actuator Driven by Pneumatic Artificial Muscles

被引:17
|
作者
Quy-Thinh Dao [1 ,2 ]
Manh-Linh Nguyen [2 ]
Yamamoto, Shin-ichiroh [3 ]
机构
[1] Shibaura Inst Technol, Grad Sch Engn & Sci, Saitama 3378570, Japan
[2] Hanoi Univ Sci & Technol, Dept Ind Automat, Hanoi 11615, Vietnam
[3] Shibaura Inst Technol, Dept Biosci & Engn, Saitama 3378570, Japan
来源
APPLIED SCIENCES-BASEL | 2019年 / 9卷 / 12期
关键词
pneumatic artificial muscle; sliding mode control; fractional calculus; antagonistic actuator; TRAJECTORY TRACKING CONTROL; MANIPULATOR; EXOSKELETON; POSITION; JOINT;
D O I
10.3390/app9122503
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Recently, pneumatic artificial muscles (PAMs), a lightweight and high-compliant actuator, have been increasingly used in assistive rehabilitation robots. PAM-based applications must overcome two inherent drawbacks. The first is the nonlinearity due to the compressibility of the air, and the second is the hysteresis due to its geometric construction. Because of these drawbacks, it is difficult to construct not only an accurate mathematical model but also a high-performance control scheme. In this paper, the discrete-time fractional order integral sliding mode control approach is investigated to deal with the drawbacks of PAMs. First, a discrete-time second order plus dead time mathematical model is chosen to approximate the characteristics of PAMs in the antagonistic configuration. Then, the fractional order integral sliding mode control approach is employed together with a disturbance observer to improve the trajectory tracking performance. The effectiveness of the proposed control method is verified in multi-scenario experiments using a physical actuator.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Adaptive Parameter Integral Sliding Mode Control of Pneumatic Artificial Muscles in Antagonistic Configuration
    Quy-Thinh Dao
    Dinh-Hoang Mai
    Dang-Khanh Nguyen
    Ngoc-Thuan Ly
    JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, 2022, 33 (04) : 1116 - 1124
  • [2] Adaptive Parameter Integral Sliding Mode Control of Pneumatic Artificial Muscles in Antagonistic Configuration
    Quy-Thinh Dao
    Dinh-Hoang Mai
    Dang-Khanh Nguyen
    Ngoc-Thuan Ly
    Journal of Control, Automation and Electrical Systems, 2022, 33 : 1116 - 1124
  • [3] On the discrete-time integral sliding mode control
    Abidi, Khalid
    Xu, Jian-Xin
    Yu Xinghuo
    2006 INTERNATIONAL WORKSHOP ON VARIABLE STRUCTURE SYSTEMS, 2006, : 29 - +
  • [4] Fractional Order Exponential Type Discrete-time Sliding Mode Control
    Haifeng Ma
    Yangmin Li
    International Journal of Control, Automation and Systems, 2020, 18 : 374 - 383
  • [5] Fractional Order Exponential Type Discrete-time Sliding Mode Control
    Ma, Haifeng
    Li, Yangmin
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2020, 18 (02) : 374 - 383
  • [6] Adaptive Discrete Sliding Mode Control of a Pneumatic Artificial Muscles Robot
    Fellag, Ratiba
    Hamerlain, Mustapha
    Laghrouche, Salah
    Achour, Noura
    2017 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING - BOUMERDES (ICEE-B), 2017,
  • [7] On the discrete-time integral sliding-mode control
    Abidi, Khalid
    Xu, Jian-Xin
    Yu Xinghuo
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2007, 52 (04) : 709 - 715
  • [8] Discrete-time Fractional-order Integral Based Sliding Mode Control For Piezo-Actuated System
    Wen, Shengjun
    Chen, Xinkai
    2019 INTERNATIONAL CONFERENCE ON ADVANCED MECHATRONIC SYSTEMS (ICAMECHS), 2019, : 163 - 168
  • [9] Discrete-Time Fractional Order Terminal Sliding Mode Tracking Control for Linear Motor
    Sun, Guanghui
    Ma, Zhiqiang
    Yu, Jinyong
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 65 (04) : 3386 - 3394
  • [10] Data-driven MIMO discrete-time predictive model-free adaptive integral terminal sliding mode controller design for robotic manipulators driven by pneumatic artificial muscles
    Esmaeili, Babak
    Baradarannia, Mahdi
    Salim, Mina
    Farzamnia, Ali
    2019 6TH INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION AND AUTOMATION (ICCIA), 2019, : 134 - 141