AN APPLICATION OF OPTIMAL-CONTROL THEORY TO THE TRAJECTORY TRACKING OF RIGID ROBOT MANIPULATORS

被引:6
|
作者
GRABBE, MT [1 ]
DAWSON, DM [1 ]
机构
[1] CLEMSON UNIV,DEPT ELECT & COMP ENGN,CLEMSON,SC 29634
来源
关键词
OPTIMAL CONTROL; ROBOT MANIPULATOR; TRAJECTORY TRACKING; LYAPUNOV STABILITY;
D O I
10.1002/oca.4660150403
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper optimal control theory is applied to the trajectory tracking problem for a rigid robot manipulator. First a stability result is developed showing the relationship between optimal control theory and the global exponential stability of a class of second-order non-linear systems. Next this class of nonlinear systems is shown to contain the trajectory tracking error dynamics for a rigid robot manipulator when using a modified computed torque controller with an auxiliary input. Finally the stability results is applied to the tracking error dynamics to determine the auxiliary input to the robot controller. The result is a non-linear feedback control law which provides exponentially stable position and velocity tracking for a rigid robot manipulator without complete feedback linearization of the robot dynamics.
引用
收藏
页码:237 / 249
页数:13
相关论文
共 50 条
  • [41] Adaptive trajectory tracking neural network control with robust compensator for robot manipulators
    Pham Van Cuong
    Wang Yao Nan
    Neural Computing and Applications, 2016, 27 : 525 - 536
  • [42] Path tracking control of robot manipulators utilizing future information of desired trajectory
    Wang, Shouyu
    Tsuchiya, Takeshi
    Hashimoto, Yukio
    Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, 1993, 59 (564): : 2512 - 2518
  • [43] Trajectory tracking control of industrial robot manipulators using a neural network controller
    Jiang, Zhao-Hui
    Ishida, Taiki
    2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8, 2007, : 357 - 362
  • [44] Trajectory tracking control for perturbed robot manipulators using iterative learning method
    Farah Bouakrif
    Michel Zasadzinski
    The International Journal of Advanced Manufacturing Technology, 2016, 87 : 2013 - 2022
  • [45] Adaptive trajectory tracking control with finite-time stability for robot manipulators
    Fujishiro, Juro
    Fukui, Yoshiro
    Wada, Takahiro
    2015 INTERNATIONAL AUTOMATIC CONTROL CONFERENCE (CACS), 2015, : 60 - 66
  • [46] Task Space Trajectory Tracking Control of Robot Manipulators with Uncertain Kinematics and Dynamics
    Liang, Xichang
    Wan, Yi
    Zhang, Chengrui
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 2017
  • [47] Trajectory tracking control for perturbed robot manipulators using iterative learning method
    Bouakrif, Farah
    Zasadzinski, Michel
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2016, 87 (5-8): : 2013 - 2022
  • [48] Trajectory tracking control based on a genealogical decision tree controller for robot manipulators
    Najim, Kaddour
    Ikonen, Enso
    Gomez-Ramirez, Eduardo
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2008, 4 (01): : 53 - 62
  • [49] Trajectory Tracking Control for Robot Manipulators with Mixed Joints via Virtual Decomposition
    Wang, Baoxiang
    Liu, Huashan
    Li, Sheng
    Liu, Hengchong
    2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 5231 - 5235
  • [50] Trajectory Tracking Feedback Control of Robot Manipulators with Coupled Dynamics of Force and Position
    Ichii, Hiroaki
    Kawamura, Sadao
    SERVICE ROBOTICS AND MECHATRONICS, 2010, : 353 - +