Fractional data-driven control for a rotary flexible joint system

被引:3
|
作者
AlSereihy, Maher H. [1 ]
Mehedi, Ibrahim M. [1 ,2 ]
Al-saggaf, Ubaid M. [1 ,2 ]
Munawar, Khalid [1 ,2 ]
Mansouri, Rachid [3 ]
Bettayeb, Maamar [2 ,4 ]
机构
[1] King Abdulaziz Univ, Elect & Comp Engn Dept, Jeddah 21589, Saudi Arabia
[2] King Abdulaziz Univ, Ctr Excellence Intelligent Engn Syst, Jeddah, Saudi Arabia
[3] Mouloud Mammeri Univ, L2CSP Lab, Tizi Ouzou, Algeria
[4] Univ Sharjah, Coll Engn, Elect Engn Dept, Sharjah, U Arab Emirates
关键词
Data-driven control; virtual reference feedback tuning; fractional order controller; rotary flexible joint; state feedback control; VIBRATION CONTROL; DESIGN; MANIPULATORS; FEEDBACK; ROBOT; ARM;
D O I
10.1177/1729881421998580
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
As one of the most promising topics in complex control processes, data-driven techniques have been widely used in numerous industrial sectors and have developed over the past two decades. In addition, the fractional-order controller has become more attractive in applied studies. In this article, a fractional integral control is implemented for a rotary flexible joint system. Moreover, an adjusted virtual reference feedback tuning (VRFT) technique is used to tune the fractional-order integrator. In this method, fractional integral control is designed based on state feedback control. Then, VRFT is adjusted and applied to the fractional integral controller. The effectiveness of the proposed adjusted VRFT method is discussed and presented through simulation and experimental results. The tracking performance of the rotary arm and the minimization of the vibration tip is evaluated based on the proposed method. In this article, the comparison of our proposed VRFT fractional scheme is made with the classical state feedback as well as a recently developed state feedback-based fractional order integral (SF-FOI) controller. The current investigations determine the performance improvement of our proposed scheme of comparable structure to the recent SF-FOI, with the introduction of the VRFT to the SF-FOI scheme.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Robust Experimental Study of Data-driven Optimal Control for an Underactuated Rotary Flexible Joint
    Xin, Ying
    Qin, Zhi-Chang
    Sun, Jian-Qiao
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2020, 18 (05) : 1202 - 1214
  • [2] Robust Experimental Study of Data-driven Optimal Control for an Underactuated Rotary Flexible Joint
    Ying Xin
    Zhi-Chang Qin
    Jian-Qiao Sun
    International Journal of Control, Automation and Systems, 2020, 18 : 1202 - 1214
  • [3] Rotary flexible joint control by fractional order controllers
    Ubaid M. Al-Saggaf
    Ibrahim M. Mehedi
    Rachid Mansouri
    Maamar Bettayeb
    International Journal of Control, Automation and Systems, 2017, 15 : 2561 - 2569
  • [4] Rotary flexible joint control by fractional order controllers
    Al-Saggaf, Ubaid M.
    Mehedi, Ibrahim M.
    Mansouri, Rachid
    Bettayeb, Maamar
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2017, 15 (06) : 2561 - 2569
  • [5] Data-driven Takagi-Sugeno fuzzy system modeling and predictive control of a pneumatic flexible joint
    Chen C.
    Huang J.
    Liu L.
    Wu D.-R.
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2022, 39 (04): : 633 - 642
  • [6] Data-Driven Optimization of Integrated Control Framework for Flexible Motion Control System
    Jung, Hanul
    Oh, Sehoon
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (07) : 4762 - 4772
  • [7] Data-Driven Control Strategies for Rotary Wing Aerial Vehicles
    Caeiro, Simao
    Guerreiro, Bruno J.
    Cunha, Rita
    ROBOT 2023: SIXTH IBERIAN ROBOTICS CONFERENCE, VOL 2, 2024, 978 : 62 - 73
  • [8] STATE-FEEDBACK-BASED FRACTIONAL-ORDER CONTROL APPROXIMATION FOR A ROTARY FLEXIBLE JOINT SYSTEM
    Al-Sereihy, Maher H.
    Mehedi, Ibrahim M.
    Al-Saggaf, Ubaid M.
    Bettayeb, Maamar
    MECHATRONIC SYSTEMS AND CONTROL, 2020, 48 (04): : 256 - 263
  • [9] Fractional robust data-driven control of nonlinear MEMS gyroscope
    Rahmani, Mehran
    Redkar, Sangram
    NONLINEAR DYNAMICS, 2023, 111 (21) : 19901 - 19910
  • [10] Fractional robust data-driven control of nonlinear MEMS gyroscope
    Mehran Rahmani
    Sangram Redkar
    Nonlinear Dynamics, 2023, 111 : 19901 - 19910