Robust adaptive fuzzy output feedback control system for robot manipulators

IEEE/ASME Transactions on Mechatronics

Volumn 16, Issue 2, 2011, Pages 288-296

  Islam, Shafiqul ^a   Liu, Peter X ^a  

^a CARLETON UNIVERSITY   (Canada)

Author keywords

Adaptive fuzzy systems; hybrid system; output feedback; robotics

Indexed keywords

ADAPTIVE CONTROL; ADAPTIVE FUZZY SYSTEM; CERTAINTY EQUIVALENT; EXTERNAL DISTURBANCES; FUZZY APPROXIMATION; HYBRID CONTROL SYSTEMS; HYBRID CONTROLLER; LINEAR ESTIMATORS; MODEL FREE; MODELING ERRORS; OPTIMAL CONTROLLER; OUTPUT FEEDBACK; ROBOT MANIPULATOR; ROBOTIC SYSTEMS; ROBUST ADAPTIVE; ROBUST-ADAPTIVE CONTROL; SYSTEM OUTPUT; THEORETICAL DEVELOPMENT; TRAJECTORY TRACKING CONTROL; VELOCITY SIGNALS;

ADAPTIVE ALGORITHMS; CONTROLLERS; DESIGN; ELECTRIC GROUNDING; ERRORS; FEEDBACK; FEEDBACK CONTROL; FUZZY LOGIC; FUZZY SETS; HYBRID COMPUTERS; HYBRID SYSTEMS; LYAPUNOV METHODS; REMOTE CONTROL; ROBOT APPLICATIONS; ROBOTICS; ROBOTS; ROBUST CONTROL; STATE FEEDBACK;

ADAPTIVE CONTROL SYSTEMS;

EID: 78951480300     PISSN: 10834435     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMECH.2010.2041464     Document Type: Article

References (59)

1. A. Rojko and Karel Jezernik, "Sliding-mode motion controller with adaptive fuzzy disturbance estimation," IEEE Trans. Ind. Electron., vol. 51, no. 5, pp. 963-971, Oct. 2004.
2. A. Tayebi, "Adaptive iterative learning control for robot manipulators," Automatica, vol. 40, pp. 1195-1203, 2004.
3. A. Tayebi, S. Abdul,M. B. Zarembi, and Y. Ye, "Robust iterative learning control design: Application to a robot manipulator," IEEE/ASME Trans. Mechatronics, vol. 13, no. 5, pp. 608-613, Oct. 2008.
4. A. Tayebi and S. Islam, "Adaptive iterative learning control for robot manipulators: Experimental results," Control Eng. Pract., vol. 14, pp. 843- 851, 2006.
5. A. Tayebi and S. Islam, "Experimental evaluation of an adaptive iterative learning control scheme on a 5-DOF robot manipulators," in Proc. IEEE Int. Conf. Control Appl., Taipei, Taiwan, Sep. 2-4, 2004, pp. 1007-1011.
6. A. Teel and L. Praly, "Tools for semi-global stabilization by partial state and output feedback," SIAM J. Control Optim., vol. 33, pp. 1443-1488, 1995.
7. A. V. Topalov and O. Kaynak, "On line learning in adaptive neurocontrol for compliance tasks of robotic manipulators," IEEE Trans. Systems, Man, Cybern., vol. 31, no. 3, pp. 445-450, Jun. 2001.
8. B. S. Chen, H. J. Uang, and C. S. Tseng, "Robust tracking enhancement of robot systems including motor dynamics: A fuzzy-based dynamic game approach," IEEE Trans. Fuzzy Syst., vol. 6, no. 4, pp. 538-552, Nov. 1998.
9. C. Canudas DeWit and N. Fixot, "Adaptive control of robot manipulators via velocity estimated feedback," IEEE Trans. Autom. Control, vol. 37, no. 8, pp. 1234-1237, Aug. 1992.
10. C. Canudas DeWit and N. Fixot, "Robot control via robust estimated state feedback," IEEE Trans. Autom. Control, vol. 36, no. 12, pp. 1497-1501, Dec. 1991.
11. C. Hua, X. Guan, and G. Duan, "Variable structure adaptive fuzzy control for a class of nonlinear time delay systems," Fuzzy Sets Syst., vol. 148, no. 3, pp. 453-468, 2004.
12. C. Y. Su, T. P. Leung, and Q. J. Zhou, "A novel variable structure control scheme for robot trajectory control," in Proc. IFACTriennialWorldCongr., 1990, vol. 5, pp. 117-120.
13. F. Zhang, D. M. Dawson, M. S. de Queiroz, and W. E. Dixon, "Global adaptive output feedback tracking control of robot manipulators," IEEE Trans. Autom. Control, vol. 45, no. 6, pp. 1203-1208, Jun. 2000.
14. F. L. Lewis, C. T. Abdallah, and D. M. Dawson, Control of Robot Manipulators. New York: MacMillan, 1993.
15. G. Bartolini and I. Zolezzi, "Variable structure systems nonlinear in the control law," IEEE Trans. Autom.Control, vol.AC-30, no. 7, pp. 681-684, Jul. 1985.
16. G. Liu, "Control of robotic manipulators with consideration of actuator performance degradation and failures," in Proc. IEEE Int. Conf. Robot. Autom., Seoul, Korea, May 21-26, 2001, vol. 3, pp. 2566-2571.
17. G. Liu and A. A. Goldenberg, "Comparative study of robust saturationbased control of robot manipulators: Analysis and experiments," Int. J. Robot. Res., vol. 15, no. 5, pp. 473-491, 1996.
18. G. Liu and A. A. Goldenberg, "Robust control of robot manipulators based on dynamics decomposition," IEEE Trans. Robot. Autom., vol. 13, no. 5, pp. 783-789, Oct. 1997.
19. G. Liu and A. A. Goldenberg, "Experiments on robust control of robot manipulators," in Proc. IEEE Int. Conf. Robot. Autom., Nice, France, May 1992, vol. 3, pp. 1935-1940.
20. H. Asada and J. J. Slotine, Robot Analysis and Control. NewYork: Wiley, 1986.
21. H. Berghuis, R. Ortega, and H. Nijmeijer, "A robust adaptive robot controller," IEEE Trans. Robot. Autom., vol. 9, no. 6, pp. 825-830, Dec. 1993.
22. H. Schwartz and S. Islam, "An evaluation of adaptive robot control via velocity estimated feedback," in Proc. Int. Conf. Control Appl., Montreal, QC, Canada, May 30-Jun. 1, 2007, pp. 125-133.
23. J.-B. Pomet and L. Praly, "Adaptive nonlinear regulation estimation from the Lyapunov equation," IEEE Trans. Autom. Control, vol. 37, no. 6, pp. 729-740, Jun. 1992.
24. J. J. E. Slotine and W. Li, "Adaptive manipulator acotrol: A case study," IEEE Trans. Autom. Control, vol. 33, no. 11, pp. 995-1003, Nov. 1988.
25. J. J. E. Slotine and W. Li, Applied Nonlinear Control. Upper Saddle River, NJ: Prentice-Hall, 1991.
26. J. J. E. Slotine and S. S. Sastry, "Tracking control of nonlinear system using sliding surface, with application to robot manipulators," Int. J. Control, vol. 38, pp. 465-492, 1983.
27. J. Y. Hung,W. Gao, and J. C Hung, "Variable structure control: A survey," IEEE Trans. Ind. Electron., vol. 40, no. 1, pp. 2-22, Feb. 1993.
28. K. D. Young, "Controller design for robot a manipulator using theory of variable structure control," IEEE Trans. Syst.,Man, Cybern., vol. SMC-8, no. 2, pp. 101-109, Feb. 1978.
29. K. Erbatur and O. Kaynak, "Use of adaptive fuzzy systems in parameter tuning of sliding mode controllers," IEEE/ASME Trans. Mechatronics, vol. 6, no. 4, pp. 474-482, Dec. 2001.
30. K. Erbatur, O. Kaynak, and A. Sabanovic, "Robust control of a direct drive manipulator," in Proc. IEEE ISIC/CIRA/ASAS Joint Conf., Gaithersburg, MD, Sep. 14-17, 1998, pp. 108-113.
31. K. S. Narendra and A. M. Annaswamy, Stable Adaptive Systems. Englewood Cliffs, NJ: Prentice-Hall, 1988.
32. K. W. Lee and H. K. Khalil, "Adaptive output feedback control of robot manipulators using high-gain observer," Int. J. Control, vol. 67, no. 6, pp. 869-886, 1997.
33. K. Y. Lim and M. Eslami, "Robust adaptive controller designs for robot manipulator systems," IEEE Trans. Robot. Autom., vol. RA-3, no. 1, pp. 54-66, Feb. 1987.
34. L. C. Fu and T. L. Liao, "Globally stable robust tracking of nonlinear system using variable structure control and application to a robot manipulator," IEEE Trans. Autom. Control, vol. 34, no. 12, pp. 1345-1350, Dec. 1990.
35. L. X.Wang, A Course in Fuzzy Systems and Control. Englewood Cliffs, NJ: Prentice-Hall, 1997.
36. M. Erlic and W. Lu, "A reduced-order adaptive velocity observer for manipulator control," IEEE Trans. Robot. Autom., vol. 11, no. 2, pp. 293- 303, Apr. 1995.
37. M. Llama, R. Kelly, V. Santibanez, and H. Centeno, "An Adaptive Fuzzy Controller for Robot Manipulators: Theory and Experimentation," Int. J. Fact. Autom., Robot. Soft Comput., no. 1, pp. 122-131, Jan. 2009.
38. M. Q. H. Meng, "Application of an efficient neural network to identification and adaptive control of unknown robot dynamics," Int. J. Intell. Control Syst., vol. 1, no. 4, pp. 459-468, 1996.
39. M. Q. H. Meng, "Comparison study of model-based and non-model-based robot controllers," in Proc. IEEE Int. Conf. Syst.,Man Cybern.,Vancouver, BC, Canada, 1995, pp. 61-66.
40. M. W. Spong and M. Vidyasagar, Robot Dynamics and Control. New York: Wiley, 1989.
41. M.W. Spong, "On the robust control of robot manipulators," IEEE Trans. Autom. Control, vol. 37, no. 11, pp. 1782-1786, Nov. 1992.
42. P. Ioannou and J. Sun, Robust Adaptive Control. Englewood Cliffs, NJ: Prentice-Hall, 1996.
43. P. R. Pagilla andM. Tomizuka, "An adaptive output feedback controller for robot arms: Stability and experiments," Automatica, vol. 37, pp. 983-995, 2001.
44. S. A. Morris and S. Khemaissia, "A neural network based adaptive robot controller," J. Intell. Robot. Syst., vol. 15, pp. 3-10, 1996.
45. S. Islam and P. X. Liu, "Adaptive sliding mode control for robotic system using multiple model parameters," in Proc. IEEE/ASME AIM, Singapore, Jul. 14-17, 2009, pp. 1775-1780.
46. S. Islam, "Adaptive output feedback for robot manipulators using linear observer," presented at the Int. Conf. Intell. Syst. Control, Orlando, FL, Nov. 16-18, 2008.
47. S. Lim, D. Dawson, and K. Anderson, "Re-examining the Nicosia-Tomei robot observer-controller from a back-stepping perspective," IEEE Trans. Control Syst. Technol., vol. 4, no. 3, pp. 304-310, May 1996.
48. S. Nicosia and P. Tomei, "Robot control by using only joint position measurements," IEEE Trans. Robot. Autom., vol. 35, no. 9, pp. 1058- 1061, Sep. 1990.
49. S. Sastry and M. Bosdon, Adaptive Control: Stability, Convergence and Robustness. Englewood Cliffs, NJ: Printice-Hall, 1989.
50. S. Y. Yi and M. J. Chung, "A robust fuzzy logic controller for robot manipulators with uncertainities," IEEE Trans. Syst., Man, Cybern. B, vol. 27, no. 4, pp. 706-713, Aug. 1997.
51. V. I. Utkin, "Variable structure systems with sliding mode," IEEE Trans. Autom. Control, vol. AC-22, no. 2, pp. 212-222, Apr. 1977.
52. W. E. Dixon, M. S. Queiroz, F. Zhang, and D. M. Dawson, "Tracking control of robot manipulators with bounded torque inputs," Robotica, vol. 17, pp. 121-129, 1999.
53. W. Pedrycz, Fuzzy Control and Fuzzy Systems. Toronto, ON, Canada: Willey, 1993.
54. W. Lu and M. Q. H. Meng, "Regressor formulation of robot dynamics: Computation and applications," IEEE Trans. Robot. Autom., vol. 9, no. 3, pp. 323-333, Jun. 1993.
55. X. Yang and Q.-H. Meng, "Real-time tracking of robot manipulators with on-line learning based approach," in Proc. IEEE Can. Conf. Electr. Comput. Eng., Edmonton, AB, Canada, May 9-12, 1999, vol. 2, pp. 1035- 1040.
56. Y. C. Chang and B. S. Chen, "Robust tracking design for both holonomic and nonholonic constrained mechanical systems: Adaptive fuzzy approach," IEEE Trans. Fuzzy Syst., vol. 8, no. 1, pp. 46-66, Feb. 2009.
57. Y. D. Meddah and A. Benallegue, "A stable neuro-adaptive controller for rigid robot manipulators," J. Intell. Robot. Syst., vol. 20, pp. 181-193, 1997.
58. Y. Guo and P. -Y. Woo, "An Adaptive fuzzy sliding mode controller for robotic manipulators," IEEE Trans. Syst., Man, Cybern., vol. 33, no. 2, pp. 149-159, Mar. 2003.
59. Y. H. Kim and F. L. Lewis, "Neural network output feedback control of robot manipulators," IEEE Trans. Robot. Autom., vol. 15, no. 2, pp. 301- 309, Apr. 1999.