Real-Time Dynamic Control of an Industrial Manipulator Using a Neural-Network-Based Learning Controller

IEEE Transactions on Robotics and Automation

Volumn 6, Issue 1, 1990, Pages 1-9

  Miller, W Thomas ^a   Hewes, Robert P ^b   Glanz, Filson H ^a   Kraft, L Gordon ^a  

^a UNIVERSITY OF NEW HAMPSHIRE   (United States)

^b HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICS; SYSTEMS SCIENCE AND CYBERNETICS--NEURAL NETS;

CEREBELLAR MODEL ARTICULATION CONTROL; LEARNING CONTROLLER; REAL-TIME DYNAMIC CONTROL; TRAJECTORY TRACKING ERRORS;

ROBOTS, INDUSTRIAL;

EID: 0025384347     PISSN: 1042296X     EISSN: None     Source Type: Journal    
DOI: 10.1109/70.88112     Document Type: Letter

References (61)

1. R.P. Paul, “Modelling, trajectory calculation and servoing of a computer controlled arm,” Stanford Artificial Intelligence Lab. Memo AM-177, Nov. 1972.
2. J.Y.S. Luh, M.W. Walker, and R.P. Paul, “Resolved-acceleration control of mechanical manipulators,” IEEE Trans. Automat. Control., vol. AC-25, pp. 468–474, 1980.
3. C.G.S. Lee, M.J. Chung, T.N. Mudge, and J.L. Turney, “On the control of mechanical manipulators,” in Proc. 6th IFAC Symp. on Identification and System Parameter Estimation (Washington, DC, June, 1982), pp. 1454–1459.
4. C.H. An, C.G. Atkeson, J.D. Griffiths, and J.M. Hollerbach, “Experimental evalution of feedforward and computer torque control,” in Proc. IEEE Int. Conf. on Robotics and Automation (Raleigh, NC, Mar. 31-Apr. 3, 1987), pp. 165–168.
5. C.P. Neuman and V.D. Tourassia, “Robust discrete nonlinear feedback control for robotic manipulators,” J. Robotic Syst., vol. 4, pp. 115–143, Feb. 1987.
6. J.M. Hollerbach, “A recursive Lagrangian formulation of manipulator dynamics and a comparative study of dynamics formulation complexity,” IEEE Trans. Syst., Man, Cybern., vol. SMC-10, pp. 730–736. 1980.
7. J.Y.S. Luh, M.W. Walker, and R.P. Paul, “Online computational scheme for mechanical manipulators,” Trans. ASME, J. Dyn. Syst., Meas. Contr., vol. 120, pp. 69–76, 1980.
8. M.W. Walker and D.E. Orin, “Efficient dynamic computer simulation of robotic mechanisms,” in Proc. 1981 Joint Automatic Control Conf. (June 17-19, 1981), vol. 1, pp. WP-2B/1–9.
9. M. Vukobratovic, L. Shi-Gang, and N. Kircanski, “An efficient procedure for generating dynamic manipulator models,” Robotica, vol. 3, pp. 147–152, 1985.
10. C.A. Balafoutis, P. Misra, and R.V. Patel. “Recursive evaluation of linearized dynamic robot models,” IEEE J. Robotics Automat., vol. RA-2, pp. 146–155, Sept. 1986.
11. J. Koplik and M.C. Leu, “Computer generation of robot dynamic equations and related issues,” J. Robotic Syst., vol. 3, pp. 301–319. Fall, 1986.
12. C.P. Neuman and J.J. Murray, “Customized computational dynamics,” J. Robotic Syst., vol. 4, pp. 503–526, Aug. 1987.
13. C.P. Neuman, “Symbolically efficient formulation for computational robot dynamics,” J. Robotic Syst., vol. 4, pp. 743–769, Dec. 1987.
14. C.P. Neuman, “The complete dynamic model and customized algorithms of the Puma robot,” IEEE Trans. Syst., Man, Cybern., vol. SMC-17, pp. 635–644, July/Aug. 1987.
15. J.P. Wander and D. Tesar, “Piplined computation of manipulator modeling matrices,” IEEE J. Robotics Automat., vol. RA-3. pp. 556–566, Dec. 1987.
16. G. Rodriguez, “Kalman filtering, smoothing, and recursive robot arm forward and inverse dynamics,” IEEE J. Robotics Automat., vol. RA-3, pp. 624–639, Dec. 1987.
17. H. Kasahara, and S. Narita, “Parallel processing of robot-arm control computation on a multimicroprocessor system,” IEEE J. Robotics, Automat., vol. RA-1, pp. 104–113, June, 1985.
18. R. Nigam and C.G.S. Lee, “A multiprocessor based controller for the control of mechanical manipulators,” IEEE J. Robotics Automat., vol. RA-1, pp. 173–182, Dec. 1985.
19. C.G.S. Lee and P.L. Chang, “Efficient parallel algorithms for robot forward dynamic computation,” in Proc. IEEE Int. Conf., on Robotics and Automation (Raleigh, NC, Mar. 31-Apr. 3, 1987), pp. 654–659.
20. Y. Wang and S.E. Butner, “A new architecture for robot controls,” in Proc. IEEE Int. Conf. on Robotics and Automation (Raleigh. NC. Mar. 31-Apr. 3, 1987), pp. 664–670.
21. C.G. Atkeson, C.H. An, and J.M. Hollerbach, “Estimation of inertial parameters of manipulator loads and links.” Int. J. Robotics Res., vol. 5, pp. 101–119, Fall, 1986.
22. S. Dubowsky and D.T. DesForges, “The application of model referenced adaptive control to robotic manipulators,” Trans. ASME.J. Dyn. Syst., Meas. Contr., vol. 101, pp. 193–200. 1979.
23. M. Takegaki and A. Arimoto, “An adaptive trajectory control of manipulators,” Int. J. Contr., vol. 34, pp. 219–230, 1981.
24. A.J. Koivo and T.H. Guo, “Adaptive linear controller for robotic manipulators,” IEEE Trans. Automat. Contr., vol. AC-28, pp. 162–171, 1983.
25. G.G. Leininger, “Adaptive control of manipulators using self-tuning methods,” in First International Symposium on Robotics Research. M. Brady and R. Paul, Eds. Cambridge, MA: MIT Press, 1984.
26. C.G.S. Lee and M.J. Chung, “An adaptive control strategy for mechanical manipulators,” IEEE Trans. Automat. Contr., vol. AC-29, pp. 837–840, 1984.
27. J.J. Craig, P. Hsu, and S.S. Sastry. “Adaptive control of mechanical manipulators,” Int. J. Robotics Res., vol. 6, pp. 16–28, Summer 1987.
28. C.W. deSilva and J. Van Winssem, “Least squares adaptive control for trajectory following robotics,” Trans. ASME, vol. 109, pp. 104–110, June 1987.
29. J.-Y. Han, H. Hemani, and S. Yurkovich, “Nonlinear adaptive control of an N-link robot with unknown load,” Int. J. Robotics Res., vol. 6. pp. 71–86, Fall 1987.
30. K.Y. Lim and M. Eslam, “Robust adaptive controller designs for robot manipulator systems,” IEEE J. Robotics Automat., vol. RA-3, pp. 54–66, Feb. 1987.
31. H. Seraji, “Direct adaptive control of manipulators in Cartesian space,” J. Robotic Syst., vol. 4, pp. 157–178, Feb. 1987.
32. H. Seraji, “An approach to multivariate control of manipulators,” Trans. ASME, vol. 109, pp. 146–154, June 1987.
33. H. Seraji, “A new approach to adaptive control of manipulators,” Trans. ASME, vol. 109, pp. 193–202, Sept. 1987.
34. J.E. Slotine and W. Li, “Adaptive manipulator control. A case study,” in Proc. IEEE Int. Conf. on Robotics and Automation (Raleigh, NC, Mar. 31-Apr. 3, 1987), pp. 1392–1400.
35. J.E. Slotine, “On the adaptive control of robot manipulators,” Int. J. Robotics Res., vol. 6, pp. 45–59, Fall 1987.
36. A.H. Levis, S.I. Marcus, W.R. Perkins, P. Kokotovic, M. Athans, R.W. Brockett, and A.S. Willsky, “Challenges to control: A collective view,” IEEE Trans. Automat. Contr., vol. AC-32, pp. 275–285, 1987.
37. S. Arimoto, S. Kawamura, and F. Miyazaki, “Bettering operation of robots by learning,” J. Robotics Syst., vol. 1, pp. 123–140, 1984.
38. C.G. Atkeson and J. McIntyre, “Robot trajectory learning through practice,” in Proc. IEEE Int. Conf. on Robotics and Automation (San Francisco, CA, Apr. 7-10, 1986), pp. 1737–1742.
39. M. Togai and O. Yamano, “Learning control and its optimality: Analysis and its application to controlling industrial robots,” in Proc. IEEE Int. Conf. on Robotics and Automation (San Francisco, CA, Apr. 7-10. 1986), pp. 248–253.
40. A.G. Barto, R.S. Sutton, and C.W. Anderson, “Neuronlike adaptive elements that can solve difficult learning control problems,” IEEE Trans. Syst., Man, Cybern., vol. SMC-13, pp. 834–846, Sept./Oct. 1983.
41. E. Ersu and H. Tolle, “A new concept for learning control inspired by brain theory,” in Proc. IFAC9th World Congr. (Budapest, Hungary, July 2–6, 1984).
42. H. Ritter and K. Schulten, “Topology conserving mappings for learning motor tasks,” in AIP Conf. Proc, no. 151, Neural Networks for Computing (Snowbird, UT, Apr. 13-16, 1986), pp. 376–380.
43. M. Kuperstein. “Adaptive visual-motor coordination in multijoint robots using parallel architecture,” in Proc. 1987 IEEE Int. Conf. on Robotics and Automation (Raleigh, NC, Mar. 31-Apr. 3, 1987), pp. 1595–1602.
44. A. Sideris, A. Yamamura, and D. Psaltis, “Dynamical neural networks and their application to robot control,” in IEEE Conf. on Neural Information Processing Systems-Natural and Synthetic (Denver, CO, Nov. 8–12, 1987), p. 29.
45. B.W. Mel, “MURPHY: A robot that learns by doing,” in AIP Proc. 1987 Neural Information Processing System Conf. (Denver, CO, 1987), pp. 544–553.
46. D. Bullock and S. Grossberg, “A neural network architecture for automatic trajectory formation and coordination of multiple effections during variable-speed arm movements,” in Proc. ICNN (San Diego, CA, 1987), pp. 559–566.
47. M. Kawato, K. Furukawa, and R. Suzuki, “A hierarchical neural-network model for control and learning of voluntary movement,” Biol. Cybern., vol. 57, pp. 169–185, 1987.
48. A. Guez and J. Selinsky, “A trainable neuromorphic controller,” J. Robotic Syst., vol. 5, pp. 363–388, 1988.
49. M. Kuperstein, “Neural model of adaptive hand-eye coordination for single postures,” Science, vol. 239, pp. 1308–1311, 1988.
50. H. Miyamoto, M. Kawato, T. Setoyama, and R. Suzuki, “Feedback-error learning neural network for trajectory control of a robotic manipulation,” Neural Networks, vol. 1, pp. 251–265, 1988.
51. J.S. Albus, “Theoretical and experimental aspects of a cerebellar model,” Ph.D. dissertation, University of Maryland, College Park, Dec. 1972.
52. J.S. Albus, “A new approach to manipulator control: The cerebellar model articulation control (CMAC),” Trans. ASME, J. Dyn. Syst., Meas. Contr., vol. 97. pp. 220–227, Sept. 1975.
53. H. Miyamoto, “Mechanisms of planning and problem solving in the brain,” Math. Biosc, vol. 45, pp. 247–293, Aug. 1979.
54. J.S. Albus, Brain, Behavior, and Robotics. Peterborough, NH: BYTE Books, 1981, pp. 139–179.
55. W.T. Miller, F.H. Glanz, and L.G. Kraft, “Application of a general learning algorithm to the control of robotic manipulators,” Int. J. Robotics Res., vol. 6.2, pp. 84–98, Summer, 1987.
56. W.T. Miller, “A nonlinear learning controller for robotic manipulators,” in Proc. SPIE: Intell. Robots Comput. Vision, vol. 726, pp. 416–423, Oct. 1986.
57. W.T. Miller, “A learning controller for nonrepetitive robotic operations,” in Proc. Workshop on Space Telerobotics (Pasadena, CA, Jan. 19-22, 1987) (JPL Publ. 87-13), vol. II, pp. 273–281.
58. W.T. Miller, “Sensor based control of robotic manipulators using a general learning algorithm,” IEEE J. Robotics Automat., vol. RA-3, pp. 157–165, Apr. 1987.
59. W.T. Miller and R.P. Hewes, “Real time experiments in neural network based learning control during high speed nonrepetitive robot operations,” in Proc. 3rd IEEE Int. Symp. on Intelligent Control (Washington, DC, Aug. 1988), pp. 24–26.
60. B. Widrow and M.E. Hoff, “Adaptive switching circuits,” in I960 Wescon Conv. Rec, pp. 96–104, 1960.
61. B. Widrow and S. Stearns, Adaptive Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1985.