Dynamic Model Identification for Industrial Robots

IEEE Control Systems

Volumn 27, Issue 5, 2007, Pages 58-71

  Swevers, Jan ^a   Verdonck, Walter ^a   De Schutter, Joris ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL EQUIPMENT; DYNAMIC MODELS; PARAMETER ESTIMATION; ROBOTICS; SIGNAL PROCESSING;

DYNAMIC MODEL IDENTIFICATION; PERIODIC EXCITATION; ROBOT MANUFACTURERS;

INDUSTRIAL ROBOTS;

EID: 35148848672     PISSN: 1066033X     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCS.2007.904659     Document Type: Article

References (27)

1. “RRS robot controller simulation (RCS) interface,” Berlin, 2001. [Online]. Available: http://www.realistic-robot-simulation.org
2. J.Y.S. Luh, M.W. Walker, and R.P. Paul, “On-line computational scheme for mechanical manipulators,” J. Dynamic Syst., Measure. Control, vol. 102, no. 2, pp. 69–76, June 1980.
3. J.-J.E. Slotine, “The robust control of robot manipulators,” Int. J. Robot. Res., vol. 4, no. 2, pp. 49-64,1985.
4. P. Khosla and T. Kanade, “Experimental evaluation of nonlinear feedback and feedforward control schemes for manipulators,” Int. J. Robot. Res., vol. 7, no. 1, pp. 18–28, Feb. 1988.
5. C. Canudas de Wit, B. Siciliano, and G. Bastin, Theory of Robot Control. New York: Springer-Verlag, 1996.
6. F. Caccavale and P. Chiacchio, “Identification of dynamic parameters and feedforward control for a conventional industrial manipulator,” Control Eng. Practice, vol. 2, no. 6, pp. 1039-1050,1994.
7. M. Olsen, J. Swevers, and W. Verdonck, “Maximum likelihood identification of a dynamic robot model: Implementation issues,” Int. J. Robot. Res., vol. 21, no. 2, pp. 89–96, Feb. 2002.
8. C. Atkeson, C. An, and J. Hollerbach, “Estimation of inertial parameters of manipulator loads and links,” Int. J. Robot. Res., vol. 5, no. 3, pp. 101–119, 1986.
9. P. Fisette, B. Raucent, and J.-C. Samin, “Minimal dynamic characterization of tree-like multibody systems,” Nonlinear Dynamics, vol. 9, no. 1–2, pp. 165-184,1996.
10. L. Ljung, System Identification: Theory for the User. Englewood Cliffs, New Jersey: Prentice-Hall, 1987.
11. M. Renaud, “Quasi-minimal computation of the dynamic model of a robot manipulator utilizing the Newton-Euler formalism and the notion of augmented body,” in Proc. IEEE Int. Conf. Robot. Automation, Raleigh, North Carolina, 1987, pp. 1677–1682.
12. L. Sciavicco, B. Siciliano, and L. Villani, “Lagrange and Newton-Euler dynamic modelling of a gear-driven rigid robot manipulator with inclusion of motor inertia effects,” Advanced Robotics, vol. 10, no. 3, pp. 317-334,1996.
13. W. Khalil and E. Dombre, Modeling, Identification and Control of Robots. London: Hermes Penton Ltd, 2002.
14. J. Swevers, F. Al-Bender, C. Ganseman, and T. Prajogo, “An integrated friction model structure with improved presliding behavior for accurate friction compensation,” IEEE Trans. Automat. Contr., vol. 45, no. 4, pp. 675–686, 2000.
15. F. Al-Bender, V. Lampaert, and J. Swevers, “The generalized Maxwell-slip model: A novel model for friction simulation and compensation,” IEEE Trans. Automat. Contr., vol. 50, no. 11, pp. 1883–1887, Nov. 2005.
16. M. Daemi and B. Heimann, “Identification and compensation of gear friction for modeling of robots,” in Proc. 11th CISM-IFToMM Symp. Theory and Practice Robots and Manipulators, Udine, Italy, 1996, pp. 89–96.
17. B. Armstrong, “On finding exciting trajectories for identification experiments involving systems with nonlinear dynamics,” Int. J. Robot. Res., vol. 8, no. 6, pp. 28-48, 1989.
18. M. Gautier and W. Khalil, “Exciting trajectories for the identification of base inertial parameters of robots,” Int. J. Robot. Res., vol. 11, no. 4, pp. 362-375,1992.
19. R. Pintelon and J. Schoukens, System Identification: A Frequency Domain Approach. New York: Wiley, 2001.
20. M. Gautier, “Identification of robots dynamics,” in Proc. IFAC Symp. Theory Robots, Vienna, Austria, 1986, pp. 351–356.
21. J. Swevers, B. Naumer, S. Pieters, E. Biber, W. Verdonck, and J. De Schutter, “An experimental robot load identification method for industrial application,” in Advanced Robotics: Experimental Robotics VIII, New York: Springer-Verlag, 2003, pp. 318–327.
22. P. Corke, “In situ measurement of robot motor electrical constants,” Robotica, vol. 14, no. 4, pp. 433-436,1996.
23. J.P. Norton, An Introduction to Identification. London: Academic, 1986.
24. H. Bruyninckx, (2001) “Open Robot Control Software,” Leuven, Belgium. [Online]. Available: http://www.orocos.org/
25. P. Soetens and H. Bruyninckx, “Realtime hybrid task-based control for robots and machine tools,” in Proc. IEEE Int. Conf. Robot. Automation, Barcelona, Spain, 2005, pp. 260–265.
26. J. Swevers, W. Verdonck, B. Naumer, S. Pieters, and E. Biber, “An experimental robot load identification method for industrial application,” Int. J. Robot. Res., vol. 21, no. 8, pp. 701–712, 2002.
27. G. Hirzinger, N. Sporer, A. Albu-Schaffer, M. Hahnle, R. Krenn, A. Pascucci, and M. Schedl, “DLR's torque-controlled light weight robot III—Are we reaching the technological limits now?” in Proc. IEEE Int. Conf. Robot. Automation, Washington DC, 2002, pp. 1710–1716.