Multiple Manifold Types of Synergetic Control Applied on a 4-DOF Robot Manipulator

被引:4
作者
Almheiri, Asma [1 ]
Sinan, Saif [1 ,2 ]
Fareh, Raouf [1 ]
Bettayeb, Maamar [1 ,3 ]
机构
[1] Univ Sharjah, Elect Engn Dept, Sharjah, U Arab Emirates
[2] Ecole Technol Super, Dept Elect Engn, Montreal, PQ, Canada
[3] King Abdulaziz Univ, Ctr Excellence Intelligent Engn Syst CEIES, Jeddah, Saudi Arabia
来源
2021 7TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR) | 2021年
关键词
synergetic control; nonlinear control; robot manipulator; manifolds; stability; NEURAL-NETWORK CONTROL; TRACKING CONTROL; WORKSPACE;
D O I
10.1109/ICCAR52225.2021.9463446
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This work presents a comparative study of different types of synergetic control applied to a Four Degrees of Freedom Robot (4-DOF) manipulator to track the desired trajectories in the workspace and joint space. Synergetic control theory arises in control science with the principle of performing self-organization in the system. It provides asymptotic stability in complicated control problems of nonlinear systems. The control methodology is based on three main steps. First, the desired trajectories are converted from the workspace to the joint space through the inverse kinematics. Second, a synergetic controller is developed to closely track the desired joint space trajectories. Finally, in the third step, the forward kinematics is used to convert the real joint space trajectories to the workspace trajectories. The main purpose of this work is to evaluate experimentally the synergetic control performance on a robotic arm. Three different manifolds; conventional, terminal and nonsingular terminal manifolds are used for this comparative study to develop the control law. Lyapunov approach is then used to analyse the closed loop stability. The obtained experimental results are statistically compared among them in order to find the best manifold for such robotic systems.
引用
收藏
页码:156 / 161
页数:6
相关论文
共 25 条
  • [1] Abderrezek H, 2016, PROCEEDINGS OF 2016 8TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION & CONTROL (ICMIC 2016), P449, DOI 10.1109/ICMIC.2016.7804154
  • [2] Finite-time terminal synergetic control of a class of nonlinear systems with unmatched uncertainties
    Ahifar, Azadeh
    Noei, Abolfazl Ranjbar
    Rahmani, Zahra
    [J]. IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION, 2020, 37 (03) : 765 - 776
  • [3] Terminal synergetic design of a nonlinear robot manipulator in the presence of disturbances
    Ahifar, Azadeh
    Noee, Abolfazl Ranjbar
    Rahmani, Zahra
    [J]. COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2018, 37 (01) : 208 - 223
  • [4] Ardjal Aghiles, 2018, 2018 5th International Conference on Renewable Energy: Generation and Applications (ICREGA), P94, DOI 10.1109/ICREGA.2018.8337639
  • [5] Adaptive finite integral non-singular terminal synergetic control of nth-order nonlinear systems
    Asl, Reza Mohammadi
    Hagh, Yashar Shabbouei
    Anavatti, Sreenatha
    Handroos, Heikki
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2020, 142
  • [6] On the PID tracking control of robot manipulators
    Cervantes, I
    Alvarez-Ramirez, J
    [J]. SYSTEMS & CONTROL LETTERS, 2001, 42 (01) : 37 - 46
  • [7] Adaptive Fuzzy Computed-Torque Control for Robot Manipulator with Uncertain Dynamics
    Chen, Yuan
    Ma, Guangying
    Lin, Shuxia
    Gao, Jun
    [J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2012, 9
  • [8] Commuri S, 1997, J ROBOTIC SYST, V14, P465, DOI 10.1002/(SICI)1097-4563(199706)14:6<465::AID-ROB7>3.0.CO
  • [9] 2-M
  • [10] Craig J. J., 2009, Introduction to Robotics: Mechanics and Control, V3/E