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Semi-Active Fuzzy Control of MR Damper on Structures by Genetic Algorithm

Published online by Cambridge University Press:  05 May 2011

Z.-S. Huang ,
C. Wu  and
D.-S. Hsu
Z.-S. Huang*
Affiliation:
Department of Civil Engineering, National Cheng-Kung University, Tainan, Taiwan 70101, R.O.C.
C. Wu*
Affiliation:
Science and Technology Policy and Information Center, Taipei, Taiwan 10636, R.O.C.
D.-S. Hsu*
Affiliation:
Department of Construction Technology, Leader University, Tainan, Taiwan 70970, R.O.C.
*
*Master
**Associate Researcher, corresponding author
***Professor
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Abstract

The magnetorheological (MR) damper is a new device proposed for structural protection. It is filled with MR fluid that can be changed, when exposed to a magnetic field, regularly from free flowing liquid, linear viscous one to semi-solid. A phenomenological model based on the Bouc-Wen hysteresis model is adopted to predict both the force-displacement behavior and the complex nonlinear force-velocity response. The theory of fuzzy control is adopted here to determine the command voltage of MR dampers, but the applying of fuzzy control rules has always to deal with the classic problem of optimization. And due to the structural responses of analysis results, it can be confirmed that the reducing effects have an obviously improvement after an optimization by genetic algorithm.

Keywords

Semi-active controlFuzzy theoryMR damperGenetic algorithm.
Type
Technical Note
Information
Journal of Mechanics , Volume 25 , Issue 1 , March 2009 , pp. N1 - N6
Copyright
Copyright © The Society of Theoretical and Applied Mechanics, R.O.C. 2009

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References

1.Yang, G., Spencer, B. F. Jr., Dyke, S. J. and Sain, M. K., “Large-Scale MR Fluid Dampers: Modeling and Dynamic Performance Considerations,” Engineering Structure, 24, pp. 309–323 (2002).CrossRefGoogle Scholar
2.Wu, C., Lin, J. M. and Hsu, D. S., “Application of Semi-Active Control of Magneto-Rheological Damper on Structures,” Journal of Structural Engineering, 21, pp. 35–46 (in Chinese, 2006).Google Scholar
3.Guo, M. S., Wu, C. and Hsu, D. S., “Physical Properties of Low Power Magnetorheological Damper,” The 8th National Conference on Structural Engineering, Nantou, Taiwan (in Chinese, 2006).Google Scholar
4.Sie, D. Y., “The Manufacture and Physical Investigation of Magnetorheological Fluid,” Thesis, Civil Engineering National Cheng-Kung University, Tainan (in Chinese, 2005).Google Scholar
5.Bouc, R., “Forced Vibration of Mechanical System with Hysteresis (Abstract),” Proc, 4th Conf. on Nonlinear Oscillation,Prague, Czechoslovakia (1967).Google Scholar
6.Wen, Y. K., “Method for Random Vibration of Hysteretic Systems,” Journal Engineering Mechanics, ASCE, 102, pp. 249–263 (1976).Google Scholar
7.Spencer, B. F. Jr., Dyke, S. J., Sain, M. K. and Carlson, J. D., “Phenomenological Model of Magnetorheological Dampers,” Journal of Engineering Mechanics, ASCE, 123, pp. 230–238 (1997).CrossRefGoogle Scholar
8.Yang, Y. J., Kang, C. Y. and Lee, C. K., “Optimization of Piezoelectric Transformers Using Genetic Algorithm,” Journal of Mechanics, 24, pp. 119–125 (2008).CrossRefGoogle Scholar
9.Chen, T. Y. and Chen, C. J., “Improvements of Simple Genetic Algorithm in Structural Design,” International Journal for Numerical Methods in Engineering, 40, pp. 1323–1334 (1997).3.0.CO;2-T>CrossRefGoogle Scholar
10.Lu, L. Y. and Chung, L. L., “Modal Control of Seismic Structures Using Augmented State Matrix,” Earthquake Engineering and Structural Dynamics, 30, pp. 237–256 (2001).3.0.CO;2-O>CrossRefGoogle Scholar