Browse > Article

Decentralized Adaptive Control of Robot Manipulators  

이수한 (울산대학교 기계자동차공학부)
이용연 (울산대학교 대학원 기계자동차공학과)
신규현 (울산대학교 대학원 기계자동차공학과)
Publication Information
Abstract
In this paper, a decentralized adaptive controller is proposed to control robot manipulators which are governed by highly nonlinear dynamic equations. The controller is computationally efficient since it does not require mathematical model or parameter values of robot manipulators. The stability of the manipulators with the controller is proved by Lyapunov theory. The results of numerical simulations show that the system is stable, and has excellent trajectory tracking performance.
Keywords
Adaptive control; Robot manipulators; Decentralized control; Lyapunov theory;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Kim, Y. T., 'Independent Joint Adaptive Control of Robot Manipulator Using the Sugeno-type of Fuzzy Logic,' J. of the KSPE, Vol. 20, No. 6, pp. 55-61   과학기술학회마을
2 Colbaugh, R., Glass, K. and Seraji, H., 'Decentralized Adaptive Control of Manipulators: Theory and Experiments,' Proc. IEEE Conf. Decision & Control, pp. 153-158,1993   DOI
3 Seraji, H., 'A New Approach to Adaptive Control of Manipulators,' ASME J. Dyn. Syst. Meas. Contr., Vol. 109, No. 3, pp. 193-202, 1987   DOI
4 Seraji, H., 'Decentralized Adaptive Control of Manipulators: Theory, Simulation, and Experimentation,' IEEE Trans, on Robotics & Auto., Vol. 5, No. 2, pp. 183-201, 1989   DOI
5 Fu, L. C., 'Robust Adaptive Decentralized Control of Robot Manipulators,' IEEE Trans. Automat. Contr., Vol. 37, No. 1, pp. 106-110, 1992   DOI   ScienceOn
6 Lilong, C. and Xiaoqi, T., 'A Model-Free Decentralized Control for Robot Manipulators,' Proc. IEEE Int. Conf. Robotics & Automat., pp. 3106-3111,1997   DOI
7 Er, M. J., 'Recent Developments and Futuristic Trends in Robot Manipulator Control,' Motion Contr. Proc, pp. 106-111, 1993   DOI
8 Jin, Yaochu., 'Decentralized Adaptive Fuzzy Control of Robot Manipulators,' IEEE Trans. System, Man & Cyber. Part B Cybern., Vol. 28, No. 1, pp. 47-57, 1998   DOI   ScienceOn
9 Zhang, T. P. and Feng, C. B., 'Decentralized Adaptive Fuzzy Control for Large-Scale Non Linear System,' Fuzzy Sets and Systems, pp.61-70, 1997   DOI   ScienceOn
10 Lewis, F. L., Abdallah, C. T. and Dawson, D. M., Control of Robot Manipulators, Macmillan Publishing Company, 1993
11 Utkin,V. I., Guldner, J. and Shi, J., 'Sliding Mode Control in Electromechanical Systems,' Taylor & Francis, Inc., 1999
12 Ge, S. S., 'Advanced Control Techniques of Robotic Manipulator,' Proc. Amer. Control Conf, pp. 2185-2199, June 1998   DOI
13 Ham, C. and Qu, Z., 'A New Nonlinear Learning Control for Robotic Manipulators,' Advanced Robotics, Vol. 10, No. 5, pp. 1-15, 1996
14 John, J. Craig, 'Adaptive Control of Mechanical Manipulators,' Addison-Wesley Publishing Company, Inc., 1988
15 Narendra, K.S. and Valavani, L.S., 'Stable Adaptive Controller Design Direct Control,' IEEE Trans. Auto. Contr., Vol. AC-23, No. 4, pp. 570-583, 1978   DOI
16 Oh, B. J. and Jamshidi, M., 'Decentralized Adaptive Control of Robot Manipulators,' J. Robotic Systems, Vol. 6, No. 4, pp. 461-483, 1989   DOI