Active Control of Structures Using Neural Networks
Publication: Journal of Engineering Mechanics
Volume 121, Issue 4
Abstract
A new neural-network-based control algorithm has been developed and tested in the computer simulation of active control of a three-story frame structure subjected to ground excitations. First, an emulator neural network has been trained to forecast the future response of the structure from the immediate history of the system's response, which consists of the structure plus an actuator. The trained emulator has been used in predicting the future responses and in evaluating the sensitivities of the control signal with respect to those responses. At each time step of the simulation, the control signal has been adjusted to induce the required control force in the actuator based in a control criterion. A controller neural network has been trained to learn the relation between the immediate history of response of the structure and actuator, and the adjusted control signals. The trained neurocontroller has been used in controlling the structure for different dynamic loading conditions. Results of this initial study indicate that the neural-network-based control algorithms have the promise of evolving into powerful adaptive controllers after further research.
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References
1.
Blum, E. K., and Li, L. (1991). “Approximation theory and feedforward networks.”Neural Networks, Vol. 4, 511–515.
2.
Fahlmann, S. E. (1989). “Faster-learning variations on backpropagation: an empirical study.”Proc., 1988 Connectionist Models Summer School, Morgan Kaufmann.
3.
Fahlman, S. E., and Lebiere, C. (1990). “The cascade-correlation learning architecture.”Rep., CMU-CS-90-100, School of Computer Sci., Carnegie Melon Univ., Pittsburgh, Pa.
4.
Ghaboussi, J., Garrett, J. H., and Wu, X.(1991). “Knowledge-based modeling of material behavior with neural networks.”J. Engrg. Mech., ASCE, 117(1), 132–153.
5.
Ghaboussi, J. (1992a). “Structural control using neural networks.”ASCE Specialty Conf. on Probabilistic Mech. and Struct. and Geotech. Reliability.
6.
Ghaboussi, J. (1992b). “Potential applications of neuro-biological computational models in geotechnical engineering.”Proc., Int. Conf. on Numerical Models in Geotech. Engrg., NUMOG IV.
7.
Ghaboussi, J. (1992c). “Neuro-biological computational models with learning capabilities and their applications in geomechanical modeling.”Proc., Workshop on Recent Accomplishments and Future Trends in Geomechanics in the 21st Century.
8.
Ghaboussi, J. (1993a). “An overview of the potential applications of neural networks in civil engineering. Proc., ASCE Struct. Congr. '93 .
9.
Ghaboussi, J. (1993b). “Applications of soft computing with neural networks in some civil engineering problems.”Proc., Annu. Trilateral Seminar.
10.
Ghaboussi, J. (1994). “Some applications of neural networks in structural engineering.”Proc., Struct. Congr. '94, ASCE, New York, N.Y.
11.
Ghaboussi, J., and Banan, M. R. (1994a). “Neural networks in engineering diagnostics.”Proc., Earthmoving Conf., Soc. of Automotive Engrs.
12.
Ghaboussi, J., and Banan, M. R. (1994b). “Neural networks in railway engineering acoustic wayside fault detection.”Proc., Int. Conf. on Artificial Neural Networks in Engrg.
13.
Ghaboussi, J., Lade, P. V., and Sidarta, D. E. (1994). “Neural network based modeling in geomechanics.”Proc., Int. Conf. on Numerical Methods and Advances in Geomechanics.
14.
Joghataie, A., and Ghaboussi, J. (1994). “Neural networks and fuzzy logic in structural control.”Proc., 1st World Conf. in Struct. Control.
15.
Hertz, J., Krogh, A., and Palmer, R. (1990). Introduction to the theory of neural computation . Academic Press, New York, N.Y.
16.
Hornik, K. (1991). “Approximation capabilities of multilayer feedforward networks.”Neural Networks, Vol. 4, 251–257.
17.
Karnin, E. D.(1990). “A simple procedure for pruning backpropagation trained neural networks.”IEEE Trans. on Neural Networks, 1(2), 239–242.
18.
Leipholtz, H. H., and Abdel-Rohman, M. (1986). Control of structures . Martinus Nijhoff Publishers, The Hague, The Netherlands.
19.
Miller, W. T., Sutton, R. S., and Werbos, P. J. (1990). Neural networks for control . MIT Press, Cambridge, Mass.
20.
Nikzad, K., Ghaboussi, J., Paul, S. L., and Albertos, P. (1986). “Experimental studies in vibration control.”Internal Rep., Dept. of Civ. Engrg., Univ. of Illinois at Urbana-Champaign, Urbana, Ill.
21.
Nikzad, K., and Ghaboussi, J. (1991). “Application of multi-layered feed-forward neural networks in digital vibration control.”Proc., Int. Joint Conf. on Neural Networks.
22.
Nikzad, K. (1992). “A study of neural and conventional control paradigms in active digital structural control,” PhD thesis, Dept. of Civ. Engrg., Univ. of Illinois at Urbana-Champaign, Urbana, Ill.
23.
Rumelhart, D. E., and Mc Clelland, J. L. (1986). Parallel distributed processing. Vol. 1: Foundations . MIT Press, Cambridge, Mass.
24.
Soong, T. T. (1985). “Structural control.”Proc., 2nd Int. Symp. on Struct. Control. University of Waterloo, Ontario, Canada, 669–693.
25.
Soong, T. T. (1990). Active structural control . Longman Scientific and Technical.
26.
Warwick, K., Irwin, G. W., and Hunt K. J. (1992). Neural networks for control and systems, IEEE Control Engrg. Ser. 46, New York, N.Y.
27.
Wen, Y. K., Ghaboussi, J., Venini, P., and Nikzad, K. (1992). “Control of structures using neural networks.”Proc., US/Italy/Japan Workshop on Struct. Control.
28.
Wu, X. (1991). “Neural network-based material modeling,” PhD thesis, Dept. of Civ. Engrg., Univ. of Illinois at Urbana-Champaign, Urbana, Ill.
29.
Wu, X., Ghaboussi, J., and Garrett, J. H.(1992). “Use of neural networks in detection of structural damage.”J. Computers and Struct., 42(4), 649–660.
30.
Wu, X., and Ghaboussi, J. (1993). “Modelling unloading mechanism and cyclic behavior of concrete with adaptive neural networks.”2nd Asian-Pacific Conf. on Computational Mech.
Information & Authors
Information
Published In
Journal of Engineering Mechanics
Volume 121 • Issue 4 • April 1995
Pages: 555 - 567
Copyright
Copyright © 1995 American Society of Civil Engineers.
History
Published online: Apr 1, 1995
Published in print: Apr 1995
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