Neural network adaptive impedance control of constrained robots

International Journal of Robotics and Automation

Volumn 19, Issue 3, 2004, Pages 117-124

  Huang, L ^a   Ge, S S ^b   Lee, T H ^b  

^a SINGAPORE POLYTECHNIC   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Adaptive control; Constrained robots; Force control; Impedance control; Neural network

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; COMPUTER SIMULATION; CONSTRAINT THEORY; FORCE CONTROL; NEURAL NETWORKS; TRACKING (POSITION); UNCERTAIN SYSTEMS;

CONSTRAINED ROBOTS; IMPEDANCE CONTROL; TARGET IMPEDANCE REFERENCE TRAJECTORIES (TIRT);

ROBOTS;

EID: 3242662731     PISSN: 08268185     EISSN: None     Source Type: Journal    
DOI: 10.2316/journal.206.2004.3.206-2635     Document Type: Article

References (17)

1. N. Hogan, Impedance control: An approach to manipulation: Part 1-3, Journal of Dynamic Systems, Measurement, and Control, 107, 1985, 1-24.
2. R. Anderson & M.W. Spong, Hybrid impedance control of robotic manipulators, Proc. 1987 IEEE Conference on Robotics and Automation, New Mexico, 1997, 1073-1080.
3. C. Canudas de Wit, B. Siciliano, & G. Bastin (Eds), Theory of robot control (Springer, 1996).
4. N. Hogan, On the stability of manipulators performing contact task, IEEE Journal of Robotic Automation, 4(6), 1988, 677-686.
5. W.-S. Lu & Q.-H. Meng, Impedance control with adaptation for robotic manipulators, IEEE Transactions on Robotics and Automation, 7(3), 1991, 408-415.
6. S.S. Ge, C.C. Hang, L.C. Woon, & X.Q. Chen, Impedance control of robot manipulators using adaptive neural networks, International Journal of Intelligent Control and Systems, 2(3), 1998, 433-452.
7. S. Jung & T.C. Hsia, On neural network applications to robust impedance control of robot manipulators, International Conference on Robotics and Automation, Tokyo, 1995, 869-874.
8. Z. Lu, S. Kawamura, & A.A. Goldenberg, An approach to sliding-based impedance control, IEEE Transactions on Robotics and Automation, 11(5), 1995, 754-759.
9. S.P. Chan & H.C. Liaw, Robust generalized impedance control of robotics for compliant manipulation, International Journal of Robotics and Automation, 12, 1997, 146-155.
10. A. Albu-schaffer & G. Hirzinger, Cartesian impedance control techniques for torque controlled light-weight robots, Proceedings IEEE International Conference on Robotics and Automation, Washington, 2002, 657-663.
11. H. Seraji & R. Colbaugh, Force tracking in impedance control, International Journal of Robotics Research, 16(1), 1997, 97-117.
12. H.-P. Huang & S.-S. Chen, Compliant motion control of robots by using variable impedance, International Journal of Advance Manufacturing Technology, 7, 1992, 322-332.
13. S. Jung & T.C. Hsia, Adaptive force tracking impedance control of robot for cutting nonhomogeneous workpiece, Proceedings IEEE International Conference on Robotics and Automation, Michigan, 1999, 1800-1805.
14. S. Haykin, Neural networks: A comprehensive foundation (Macmillan College, 1994).
15. S.S. Ge, T.H. Lee, & C.J. Harris, Adaptive neural network control of robotic manipulators (Singapore: World Scientific, 1998).
16. M. Krstic, I. Kanellakopoulos, & P. Kokotovic, Nonlinear and adaptive control design (New York: Wiley, 1995).
17. J.J.E. Slotine, Sliding controller design for nonlinear systems, International Journal of Control, 40(2), 1984, 421-434.