A composite adaptive control with flexible quantity feedback for flexible-link manipulators

被引:0
|
作者
Lin, LC
Yeh, SL
机构
[1] Natl Chung-Hsing Univ, Taichung, Taiwan
来源
JOURNAL OF ROBOTIC SYSTEMS | 1996年 / 13卷 / 05期
关键词
D O I
暂无
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This article presents a mixture of joint subsystem-based adaptive control and simple flexible quantity feedback for flexible-link manipulators. The complex full flexible-arm system is composed of two severely coupling subsystems called the joint subsystem and flexible subsystem. Linear parametrization is first used to design an adaptive law for identifying the unknown parameters of a flexible manipulator based only on the joint subsystem. Joint-angle trajectory tracking can thus be achieved using the derived stable nonlinear adaptive control with the estimates of unknown parameters. To stabilize the flexible subsystem, we can simply add the feedback of transversal acceleration or deflection at the end point and/or along the flexible beam. The suggested approach is much simpler than those based on the full dynamics model of a flexible arm in required computations. Computer simulations on a single-link and a two-link flexible arm are tested to illustrate the validity of the strategy for both trajectory tracking and active damping. (C) 1996 John Wiley & Sons, Inc.
引用
收藏
页码:289 / 302
页数:14
相关论文
共 50 条
  • [31] Tip-position adaptive tracking control for flexible-link manipulators based on characteristic models
    Lei, Yong-Jun
    Wu, Hong-Xin
    Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2005, 36 (SUPPL.): : 225 - 229
  • [32] A study of the free vibration of flexible-link flexible-joint manipulators
    Vakil, M.
    Fotouhi, R.
    Nikiforuk, P. N.
    Heidari, F.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2011, 225 (C6) : 1361 - 1371
  • [33] A passivity-based control case study of flexible-link manipulators
    Christoforou, EG
    Damaren, CJ
    2005 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-4, 2005, : 993 - 998
  • [34] Neural network control of flexible-link manipulators using sliding mode
    Tang, Yuangang
    Sun, Fuchun
    Sun, Zengqi
    NEUROCOMPUTING, 2006, 70 (1-3) : 288 - 295
  • [35] Nonlinear modeling and control of flexible-link manipulators subjected to parametric excitation
    El-Badawy, Ayman A.
    Mehrez, Mohamed W.
    Ali, Amir R.
    NONLINEAR DYNAMICS, 2010, 62 (04) : 769 - 779
  • [36] Neuro-sliding mode endpoint control of flexible-link manipulators
    Zhang, Yu
    Yang, Tang-Wen
    Sun, Zeng-Qi
    Jiqiren/Robot, 2008, 30 (05): : 404 - 409
  • [37] Vibration control of flexible-link manipulators using generalized output redefinition
    Moallem, M
    Patel, RV
    2001 IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION: INTEGRATING INTELLIGENT MACHINES WITH HUMANS FOR A BETTER TOMORROW, 2001, : 23 - 28
  • [38] Inverse dynamics control of flexible-link manipulators using neural networks
    Talebi, HA
    Patel, RV
    Khorasani, K
    1998 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-4, 1998, : 806 - 811
  • [39] Nonlinear modeling and control of flexible-link manipulators subjected to parametric excitation
    Ayman A. El-Badawy
    Mohamed W. Mehrez
    Amir R. Ali
    Nonlinear Dynamics, 2010, 62 : 769 - 779
  • [40] GA-based Neural Fuzzy Control of Flexible-link Manipulators
    Siddique, M. N. H.
    Tokhi, M. O.
    ENGINEERING LETTERS, 2006, 13 (02)