Synthesis of Neural Networks and PID Control for Performance Improvement of Industrial Robots

Journal of Intelligent and Robotic Systems: Theory and Applications

Volumn 20, Issue 2-4, 1997, Pages 157-180

  Chen, Peter C ^a   Mills, James K ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

Generalization; Learning; Neural networks; PID control; Robot

Indexed keywords

CONTROL SYSTEM SYNTHESIS; FEEDFORWARD NEURAL NETWORKS; LEARNING SYSTEMS; PERFORMANCE; THREE TERM CONTROL SYSTEMS;

POSITION ERROR;

INDUSTRIAL ROBOTS;

EID: 0031249699     PISSN: 09210296     EISSN: None     Source Type: Journal    
DOI: 10.1023/a:1007952109871     Document Type: Article

References (19)

1. Arai, F., Rong, L., and Fukuda, T.: Asymptotic convergence of feedback error learning method and improvement of learning speed, in: Proceedings of the 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems, Yokohama, Japan, 1993, pp. 761-767.
2. Chen, P. C. Y., Mills, J. K., and Smith, K. C.: Performance improvement of robot continuous-path operation through iterative learning using neural networks, Machine Learning 23 (1996), 191-220.
3. Chen, P. C. Y. and Mills, J. K.: A methodology for analysis of neural network generalization in control systems, in: Proceedings of the 1997 American Control Conference, Albuquerque, New Mexico, 1997.
4. Ciliz, M. K. and Işik, C.: Trajectory following control of robotic manipulators using neural networks, in: Proceedings of the 5th IEEE International Symposium on Intelligent Control, Philadelphia, Pennsylvania, 1990, pp. 536-540.
5. Cybenko, G.: Approximation by superposition of a sigmoidal function, Mathematics of Control, Signals, and Systems 2 (1989), 303-314.
6. Fukuda, T. and Shibata, T.: Neuromorphic control for robotic manipulators: position, force and impact control, in: Proceedings of the 5th IEEE International Symposium on Intelligent Control, Philadelphia, Pennsylvania, 1990, pp. 310-315.
7. Gomi, H. and Kawato, M.: Learning control for a closed loop system using feedback-error-learning, in: Proceedings of the 29th Conference on Decision and Control, Honolulu, Hawaii, 1990, pp. 3289-3294.
8. Kawato, M.: Feedback-error-learning neural network for supervised motor learning, in: R. Eckmiller (ed.), Advanced Neural Computers, North-Holland, Amsterdam, 1990.
9. Kuan, A. and Bavarian, B.: Control of universal 3DOF robot manipulator: A neural network approach, in: Proceedings of the Japan-USA Symposium on Flexible Automation, San Francisco, California, 1992, pp. 249-255.
10. Miller, W. T., Sutton, R. S., and Werbos, P. J.: (eds), Neural Networks for Control, MIT Press, Cambridge, Massachusetts, 1990.
11. Mills, J. K., Baines, P., Chang, T., Chew, S., Jones, T., Lam, S., and Rabadi, A.: Development of a robot test platform, IEEE Robotics and Automation Magazine (1995), 21-28.
12. Müller, B. and Reinhardt, J.: Neural Networks: An Introduction, Springer-Verlag, Berlin, 1990.
13. Okuma, S. and Ishiguro, A.: A neural network compensator for uncertainties of robotic manipulators, in: Proceedings of the 29th Conference on Decision and Control, Honolulu, Hawaii, 1990, pp. 3303-3307.
14. Spong, M. W. and Vidyasagar, M.: Robust linear compensator design for nonlinear robotic control, IEEE Journal of Robotics and Automation RA-3(4) (1987), 345-351.
15. Spong, M. W. and Vidyasagar, M.: Robot Dynamics and Control, John Wiley & Sons, New York, 1989.
16. Tao, J. M. and Luh, J. Y. S.: Application of neural network with real-time training to robust position/force control of multiple robots, in: Proceedings of the 1993 IEEE International Conference on Robotics and Automation, Atlanta, Georgia, 1993, pp. 144-148.
17. Yabuta, T. and Yamada, T.: Learning control using neural networks, in: Proceedings of the 1991 IEEE International Conference on Robotics and Automation, Sacramento, California, 1991, pp. 740-745.
18. Yu, S. and Annaswamy, A. M.: Control of nonlinear dynamic systems using a stability based neural network approach, in: Proceedings of the 34th Conference on Decisions and Control, New Orleans, Louisiana, 1995, pp. 1290-1295.
19. Zomaya, A. Y. and Nahban, T. M.: Centralized and decentralized neuro-adaptive robot controllers, Neural Networks 6 (1993), 223-244.