Abstract
In today's industrial world, it is commonplace to use control in the design and operation of complex systems. However, severe limitations in potential performance are often present in such systems when large unexpected structural changes occur in the system, e.g. ‘conventional’ control schemes generally do not have the ability to control systems which are subject to unplanned extreme changes; we will call controllers which have this ability as being ‘intelligent’.
This paper introduces a controller, based on the results of [8], which has intelligent-like features. The controller is nonlinear and contains a switching device which applies a sequence of LTI controllers to the system, and which has the property that after a finite time (i.e. ‘learning’ time), switching ceases, resulting in the system being controlled by a LTI controller. The paper describes studies on implementing this class of controllers on ‘MARTS’, a highly interacting multivariable experimental hydraulic system; in particular, the paper shows how the new proposed ‘intelligent’ controller can successfully control MARTS, unlike conventional controllers, when a catastrophic change occurs in the system.
This work has been supported by the Natural Sciences and Engineering Research Council of Canada under Grant No. A4396.
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L. Boullart, A. Krijgsman, and R. A. Vingerhoeds, editors, Application of Artificial Intelligence in Process Control, Pergamon Press, Oxford, 1992, Lecture notes Erasmus intensive course.
P. Antsaklis, “Task Force on Intelligent Control Report”, IEEE Control Systems Magazine, vol. 14, pp. 4–5, 58–66, June 1994.
K. Furata, editor, 1st Workshop on Intelligent Control, Tokyo, May 1993. Tokyo Institute of Technology.
8'th IEEE Symposium on Intelligent Control (ISIC '93), Chicago, August 1993.
Proceedings of the 1994 IEEE/RSJ/GI International Conference on Intelligent Robots and Systems, Munich, September 1994.
E. J. Davison, “Multivariable Tuning Regulators: The Feedforward and Robust Control of a General Servomechanism Problem”, IEEE Transactions on Automatic Control, vol. 21, pp. 35–47, February 1976.
G. W. M. Coppus, S. L. Shah, and R. K. Wood, “Robust multivariable control of a binary distillation column”, IEE Proceedings, vol. 130, pt. D, pp. 201–208, September 1983.
D. E. Miller and E. J. Davison, “The Self-Tuning Robust Servomechanism Problem”, IEEE Transactions on Automatic Control, vol. 34, pp. 511–523, May 1989.
M. Chang and E. J. Davison, “Control of Unknown Systems using Switching Controllers: an Experimental Study”, in Proceedings of the 1994 American Control Conference, pp. 2984–2989, 1994.
D. E. Miller and E. J. Davison, “An Adaptive Controller Which Provides Lyapunov Stability”, IEEE Transactions on Automatic Control, vol. 34, pp. 599–609, June 1989.
D. E. Miller and E. J. Davison, “Adaptive Control of a Family of Plants”, in D. Hinrichsen and B. Mårtensson, editors, Control of Uncertain Systems: Proceedings of an International Workshop, Bremen, West Germany, June 1989, pp. 197–219. Birkhäuser Press, Boston, 1990.
D. E. Miller and E. J. Davison, “An Adaptive Controller Which Provides an Arbitrarily Good Transient and Steady-State Response”, IEEE Transactions on Automatic Control, vol. 36, pp. 68–81, January 1991.
D. E. Miller and E. J. Davison, “An Adaptive Tracking Problem with a Control Input Constraint”, Automatica, vol. 29, pp. 877–887, July 1993.
Minyue Fu and B. Ross Barmish, “Adaptive Stabilization of Linear Systems Via Switching Control”, IEEE Transactions on Automatic Control, vol. 31, pp. 1097–1103, December 1986.
A. S. Morse, “Supervisory Control of Families of Linear Set-Point Controllers”, in Proceedings of the 32'nd IEEE Conference on Decision and Control, 1993.
E. J. Davison, “Description of Multivariable Apparatus for Real Time Control Studies (MARTS)”, Systems Control Report 8514, University of Toronto, Department of Electrical Engineering, November 1985.
S. Kung, “A new identification and model reduction algorithm via singular value decompositions”, in Twelfth Asilomar Conference on Circuits, Systems & Computers, pp. 705–714, 1978.
E. J. Davison and B. Scherzinger, “Perfect Control of the Robust Servomechanism Problem”, IEEE Transactions on Automatic Control, vol. 32, pp. 689–702, August 1987.
E. J. Davison and I. Ferguson, “The design of controllers for the multivariable robust servomechanism problem using parameter optimization methods”, IEEE Transactions on Automatic Control, vol. 26, pp. 93–110, February 1981.
Michael Chang, “Adaptive Control Applied to Unmodelled Multivariable Systems”, Master's thesis, University of Toronto, Department of Electrical and Computer Engineering, April 1993.
C. E. Rohrs, L. Valavani, M. Athans, and G. Stein, “Robustness of Continuous-Time Adaptive Control Algorithms in the Presence of Unmodeled Dynamics”, IEEE Transactions on Automatic Control, vol. 30, pp. 881–889, September 1985.
B. Mårtensson, Adaptive Stabilization, PhD thesis, Department of Automatic Control, Lund Institute of Technology, Lund, Sweden, 1986.
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© 1995 Springer-Verlag London Limited
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Davison, E.J., Chang, M. (1995). Intelligent control: Some preliminary results. In: Francis, B.A., Tannenbaum, A.R. (eds) Feedback Control, Nonlinear Systems, and Complexity. Lecture Notes in Control and Information Sciences, vol 202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0027671
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DOI: https://doi.org/10.1007/BFb0027671
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