Hybrid controller for adaptive link control of industrial robots

被引:1
|
作者
Karner, J [1 ]
Janocha, H [1 ]
机构
[1] Univ Saarland, Lab Proc Automat, D-66041 Saarbrucken, Germany
关键词
knowledge based control; adaptive control systems; hybrid control; fuzzy logic;
D O I
10.1023/A:1007940906237
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a new adaptation mechanism for a cascaded position controller. The cascaded position controller consists of P.I.D. controllers the parameters of which;Ire changed by a fuzzy lo ic adaptation mechanism. The proposed fuzzy logic adaptation mechanism is tested using the six-degree-of-freedom-robot RV 15, manufactured by Reis Robotics. Using the fuzzy logic adaptation mechanism, the cartesian position error of the tool center point can be significantly reduced by 50 %. Another enhancement of the dynamic behaviour, which can be achieved by the fuzzy logic adaptation mechanism, is to lessen the influence of different loads on the cartesian position error.
引用
收藏
页码:93 / 104
页数:12
相关论文
共 50 条
  • [41] Adaptive neural network control of flexible link robots based on singular perturbation
    Ge, SS
    Lee, TH
    Tan, EG
    PROCEEDINGS OF THE 1997 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, 1997, : 365 - 370
  • [42] Adaptive control of an industrial robot retrofitted with an open-architecture controller
    Zhou, Y
    deSilva, CW
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 1996, 118 (01): : 143 - 150
  • [43] Neural network controller for flexible-link robots
    Yesildirek, A.
    Vandergrift, M.W.
    Lewis, F.L.
    Journal of Intelligent and Robotic Systems: Theory and Applications, 1996, 17 (04): : 327 - 349
  • [44] A neural network controller for flexible-link robots
    Yesildirek, A
    Vandegrift, MW
    Lewis, FL
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 1996, 17 (04) : 327 - 349
  • [45] Adaptive neural network based controller for robots
    Abdelhameed, MM
    MECHATRONICS, 1999, 9 (02) : 147 - 162
  • [46] A reinforcement learning adaptive fuzzy controller for robots
    Lin, CK
    FUZZY SETS AND SYSTEMS, 2003, 137 (03) : 339 - 352
  • [47] ADAPTIVE NEURAL CONTROLLER-DESIGN FOR ROBOTS
    POURBOGHRAT, F
    COMPUTERS & ELECTRICAL ENGINEERING, 1993, 19 (04) : 277 - 288
  • [48] Adaptive learning controller for autonomous mobile robots
    Kuc, TY
    Baek, SM
    Park, K
    IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 2001, 148 (01): : 49 - 54
  • [49] A Load-adaptive Controller for Humanoid Robots
    Zhou, Mingliang
    Meng, Fei
    Cai, Zhaoyang
    Zhang, Tongtong
    Li, Daojian
    Yu, Zhangguo
    Chen, Xuechao
    Chen, Xiaopeng
    2015 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER), 2015, : 2056 - 2060
  • [50] Link-Coupled Vibration Suppression Control Considering Product of Inertia for Industrial Robots
    Yoshioka, Takashi
    Shimada, Naoki
    Ohishi, Kiyoshi
    Miyazaki, Toshimasa
    Yokokura, Yuki
    2014 IEEE 13TH INTERNATIONAL WORKSHOP ON ADVANCED MOTION CONTROL (AMC), 2014,