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Output Feedback Dynamic Surface Control of Flexible-Joint Robots  

Yoo, Sung-Jin (Department of Electrical and Electronic Engineering, Yonsei University)
Park, Jin-Bae (Department of Electrical and Electronic Engineering, Yonsei University)
Choi, Yoon-Ho (School of Electronic Engineering, Kyonggi University)
Publication Information
International Journal of Control, Automation, and Systems / v.6, no.2, 2008 , pp. 223-233 More about this Journal
Abstract
A new output feedback controller design approach for flexible-joint (FJ) robots via the observer dynamic surface design technique is presented. The proposed approach only requires the feedback of position states. We first design an observer to estimate the link and actuator velocity information. Then, the link position tracking controller using the observer dynamic surface design procedure is developed. Therefore, the proposed controller can be simpler than the observer backstepping controller. From the Lyapunov stability analysis, it is shown that all signals in a closed-loop system are uniformly ultimately bounded. Finally, the simulation results of a three-link FJ robot are presented to validate the good position tracking performance of the proposed control system.
Keywords
Dynamic surface control; flexible-joint robots; output feedback;
Citations & Related Records

Times Cited By Web Of Science : 5  (Related Records In Web of Science)
Times Cited By SCOPUS : 6
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1 J. H. Oh and J. S. Lee, "Control of flexble joint robot system by backstepping design approach," Proc. of the IEEE Int. Conf. Robotics and Automation, pp. 3435-3429, 1997
2 M. Krstic, I. Kanellakopoulos, and P. Kokotovic, Nonlinear and Adaptive Control Design, Wiley Interscience, NJ, 1995
3 W. E. Dixon, E. Zergeroglu, D. M. Dawson, and M. W. Hannan, "Global adaptive partial state feedback tracking control of rigid-link flexiblejoint robots," Robotica, vol. 18, pp. 325-336, 2000   DOI   ScienceOn
4 S. J. Yoo, J. B. Park, and Y. H. Choi, "Adaptive dynamic surface control of flexible-joint robots using self-recurrent wavelet neural networks," IEEE Trans. on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 36, no. 6, pp. 1342-1355, 2006   DOI   ScienceOn
5 M. W. Spong, "Adaptive control of flexible-joint manipulators," System Control Letters, vol. 13, pp. 15-21, 1989   DOI   ScienceOn
6 C. W. Park and Y. W. Cho, "Adaptive tracking control of flexible joint manipulator based on fuzzy model reference approach," IEE Proc. Control Theory and Appl., vol. 150, no. 2, pp. 198-204, 1992
7 S. Nicosia and P. Tomei, "A Tracking controller for flexible joint robots using only link position feedback," IEEE Trans. on Automatic Control, vol. 40, no. 5, pp. 885-890, 1995   DOI   ScienceOn
8 C. J. B. Macnab, G. M. T. D'Eleuterio and M. Meng, "CMAC adaptive control of flexible-joint robots using backstepping with tuning functions," Proc. of the IEEE Int. Conf. Robotics and Automation, pp. 2679-2686, 2004
9 P. Tomei, "An observer for flexible joint robots," IEEE Trans. on Automatic Control, vol. 35, no. 6, pp. 739-743, 1990   DOI   ScienceOn
10 S. Nicosia and P. Tomei, "A global output feedback controller for flexible joint robots," Automatica, vol. 31, no. 10, pp. 1465-1469, 1995   DOI   ScienceOn
11 J. D. León-morales, J. G. Alvarez-leal, R. Castrolinares, and J. Alvarez-gallegos, "Control of a flexible joint manipulator via a non-linear control-observer scheme," International Journal of Control, vol. 74, no. 3, pp. 290-302, 2001   DOI
12 S. Y. Lim, D. M. Dawson, J. Hu, and M. S. D. Queiroz, "An adaptive link position tracking controller for rigid-link flexible-joint robots without velocity measurements," IEEE Trans. on Systems, Man, and Cybernetics, vol. 27, no. 3, pp. 412-427, 1997
13 D. Wang and J. Huang, "Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form," IEEE Trans. on Neural Networks, vol. 16, no. 1, pp. 195-202, 2005   DOI   ScienceOn
14 A. A. Abouelsoud, "Robust regulator for flexible-joint robots using integrator backstepping," Journal of Intelligent and Robotic Systems, vol. 22, pp. 23-38, 1998   DOI
15 E. Gyurkovics and D. Svirko, "A nonlinear observer for flexible joint robots," Periodica Polytechnica Ser. Mech. Eng., vol. 46, no. 2, pp. 127-137, 2002
16 A. R. Angeles and H. Nijmeijer, "Synchronizing tracking control for flexible joint robots via estimated state feedback," Journal of Dynamic Systems, Measurement, and Control, vol. 126, pp. 162-172, 2004   DOI   ScienceOn
17 J. H. Oh and J. S. Lee, "Backstepping control design of flexible joint manipulator using only position measurements," Proc. of the IEEE Conf. Decision and Control, pp. 931-936, 1998
18 B. Song and J. K. Hedrick, "Observer-based dynamic surface control for a class of nonlinear systems: An LMI Approach," IEEE Trans. on Automatic Control, vol. 49, no. 11, pp. 1995-2001, 2004   DOI   ScienceOn
19 D. Swaroop, J. K. Hedrick, P. P. Yip, and J. C. Gerdes, "Dynamic surface control for a class of nonlinear systems," IEEE Trans. on Automatic Control, vol. 45, no. 10, pp. 1893-1899, 2000   DOI   ScienceOn
20 F. Abdollahi, H. A. Talebi, and R. V. Patel, "A stable neural network-based observer with application to flexible-joint manipulators," IEEE Trans. on Neural Networks, vol. 17, no. 1, pp. 118-129, 2006   DOI   ScienceOn
21 P. P Yip and J. K. Hedrick, "Adaptive dynamic surface control: A simplified algorithm for adaptive backstepping control of nonlinear systems," Int. Jour. of Control, vol. 71, no. 5, pp 959-979, 1998   DOI
22 S. Nicosia and P. Tomei, "A new approach to control elastic joint robots with application to adaptive control," Proc. of IEEE Conf. Decision and Control, pp. 343-347, 1991
23 C. Kwan and F. L. Lewis, "Robust backstepping control of nonlinear systems using neural networks," IEEE Trans. on Systems, Man, and Cybernetics, Part A: Syst. Humans, vol. 30, no. 6, pp. 753-766, 2000   DOI   ScienceOn
24 M. Jankovic, "Observer based control for elastic joint robots," IEEE Trans. on Robotics and Automation, vol. 11, no. 4, pp. 618-623, 1995   DOI   ScienceOn
25 E. Gurkan, S. P. Banks, and I. Erkmen, "Stable controller design for the T-S fuzzy model of a flexible-joint robot arm based on Lie algebra," Proc. of IEEE Conf. Decision and Control, pp. 4717-4722, 2003