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http://dx.doi.org/10.5302/J.ICROS.2012.18.7.669

Third Order Sliding Mode Observer based Robust Fault Diagnosis for Robot Manipulators  

Van, Mien (School of Electrical Engineering University of Ulsan)
Kang, Hee-Jun (School of Electrical Engineering University of Ulsan)
Suh, Young-Soo (School of Electrical Engineering University of Ulsan)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.18, no.7, 2012 , pp. 669-672 More about this Journal
Abstract
This paper investigates an algorithm for robust fault diagnosis in robot manipulators. The TOSM (Third Order Sliding Mode observer) provides both theoretically exact observation and unknown fault identification without filtration. The EOI (Equivalent Output Injections) of the TOSM observers can be used as residuals for the problem of fault diagnosis and to identify the unknown faults. The obtained fault information can be used for fault detection, isolation as well as fault accommodation to the self-correcting failure system. The computer simulation results for a PUMA 560 robot are shown to verify the effectiveness of the proposed strategy.
Keywords
fault detection; fault diagnosis; sliding mode observer; nonlinear model;
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1 D. Brambilla, L. M. Capisani, A. Ferrara, and P. Pisu, "Fault detection for robot manipulators via second-order sliding modes," IEEE Transactions on Industrial Electronics, vol. 55. pp. 3954-3963, 2008.   DOI   ScienceOn
2 J. Davila, L. Fridman, and A. Levant, "Second-order slidingmode observer for mechanical systems," IEEE Transactions on Automatic Control, vol. 50, no. 11, pp. 1785-1789, Nov. 2005.   DOI   ScienceOn
3 J. Davila, L. Fridman, and A. Poznyak, "Observation and identification of mechanical systems via second order sliding modes," International Workshop on Variable Structure Systems, VSS'06., pp. 232-237, Jun. 2006.
4 L. Fraguela Cuesta, L. Fridman, and V. V. Alexandrov, "Position stabilization of a stewart platform: high-order sliding mode observers based approach," 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), pp. 5971-5976, Dec. 2011.
5 M. Van, H. J. Kang, and Y. S. Suh, "A robust fault diagnosis for robot manipulators using third order sliding mode observer," Proc. of the 27th ICROS Annual Conference (in Korean), pp. 488-489, Seoul, Korea, Apr. 2012.
6 B. Armstrong, O. Khatib, and J. Burdick, "The explicit dynamic model and inertial parameters of the PUMA 560 arm," IEEE Conference on Robotics and Automation, vol. 3, pp. 510-518, Apr. 1986.
7 S. Mohsen and M. Mohsen, "A neuro-fuzzy online fault detection and diagnosis algorithm for nonlinear dynamic systems," International Journal of Control, Automation and Systems, vol. 9, no. 4, pp. 665-670, Aug. 2011.   DOI
8 V. Utkin, "Variable structure systems with sliding modes," IEEE Transactions on Automatic Control, vol. 22, no. 2, pp. 212-222, Apr. 1977.   DOI
9 Y. Xiong and M. Saif, "Sliding mode observer for nonlinear uncertain systems," IEEE Transactions on Automatic Control, vol. 46, no. 12, pp. 2012-2017, Dec. 2001.   DOI   ScienceOn
10 V. Utkin, Sliding Modes in Control and Optimizations, Springer- Verlag, Berlin, Germany, 1992.
11 K. C. Veluvolu, Y. C. Soh, and W. Cao, "Robust observer with sliding mode estimation for nonlinear uncertain systems," IET Control Theory & Applications, vol. 1, no. 5, pp. 1533-1540, Sep. 2007.   DOI   ScienceOn
12 C. Edwardsa, S. K. Spurgeonb, and R. J. Patton, "Sliding mode observers for fault detection and isolation," Automatica, vol. 36, pp. 541-553, Apr. 2000.   DOI   ScienceOn
13 A. Levant, "Sliding order and sliding accuracy in sliding mode control," Int. J. Control, vol. 58, no. 6, pp. 1247-1263, 1993.   DOI
14 A. Levant, "Robust exact differentiation via sliding mode technique," Automatica, vol. 34, pp. 379-384, Mar. 1998.   DOI   ScienceOn
15 M. Van, H. J. Kang, and Y. S. Ro, "A robust fault detection and isolation scheme for robot manipulators based on neural networks," Lecture Notes of Computer Science 6838, pp. 25-32. Springer-Verlag, 2011.
16 G. Bartolini, A. Ferrara, and E. Usai, "Chattering avoidance by second order sliding mode control," IEEE Transactions on Automatic Control, vol. 43, no. 2, pp. 241-246, Feb. 1998.   DOI   ScienceOn
17 A. T. Vemuri and M. M. Polycarpou, "Neural network based robust fault diagnosis in robotic systems," IEEE Trans. Neural Networks, vol. 8, pp. 1410-1420, Nov. 1997.   DOI   ScienceOn
18 J. J. Gertler, "Survey of model-based failure detection and isolation in complex plants," IEEE Control Systems Magazine, vol. 8, no. 6, pp. 3-11, Dec. 1988.
19 P. M. Frank and X. Ding, "Survey of robust residual generation and evaluation methods in observer-based fault detection systems," Journal of Process Control, vol. 7, no. 6, pp. 403-424, Dec. 1997.   DOI
20 M. M. Polycarpou and Alexander B. Trunov, "Learning approach to nonlinear fault diagnosis: detectability analysis," IEEE Trans. Automat. Contr., vol. 45, no. 4, pp. 806-812, Apr. 2000.   DOI