Use of fuzzy logic for the administration of a structural control system based on magnetorheological dampers

Authors

DOI:

https://doi.org/10.17533/udea.redin.16461

Keywords:

semi-active control of structures, fuzzy logic, magnetorheological dampers, dynamic of structures

Abstract

Magnetorheological dampers are energy dissipation devices that develop variable control forces useful for the administration of structural systemsunder the effect of dynamic loads. In general, these devices are governed by complex and sophisticated algorithms that required a high processing power. This paper proposes the use of a control algorithm based on fuzzy logic which makes adjustments to the command signal of magnetorheological dampers in a simple and faster way based on the heuristic knowledge of the structure analyzed. From a numerical example was possible to establish that the proposed control project was competent and reliable enough to manage control forces, achieving peak of responses reductions up to 68%.

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Author Biographies

Luis Augusto Lara-Valencia, National University of Colombia

Department of Civil Engineering.

Yamile Valencia-Gonzalez, National University of Colombia

Doctor in Geotechnics, Associate Professor, Department of Civil Engineering.

Jose Luis Vital de Brito, University of Brasilia

Department of Civil and Environmental Engineering.

References

G. Yang. Large-Scale Magnetorheological Fluid Damper for Vibration Mitigation: Modeling, Testing and Control. Ph.D. Dissertation, University of Notre Dame. Indiana, USA. 2001. pp. 1-480.

J. Rabinow. “The magnetic fluid clutch”. AIEE Transactions. Vol. 67. 1948. pp. 1308-1315. DOI: https://doi.org/10.1109/T-AIEE.1948.5059821

J. Rabinow. Magnetic fluid torque and force transmitting device. U.S. Patent 2575360. 1951.

S. Dyke. Acceleration feedback control strategies for active and semi-active control systems: modeling, algorithm development, and experimental verification. Ph.D. Dissertation, University of Notre Dame. Indiana, USA. 1996. pp. 255.

B. Spencer, S. Dyke, M. Sain, J. Carlson. “Phenomenological model of a magnetorheological damper”. Journal of engineering mechanics. Vol. 123. 1997. pp. 230-238. DOI: https://doi.org/10.1061/(ASCE)0733-9399(1997)123:3(230)

G. Chen, T. Pham. Introduction to fuzzy sets, fuzzy logic and fuzzy control systems. 1st ed. Ed. CRC Press. Florida, USA. 2001. pp. 316. DOI: https://doi.org/10.1201/9781420039818

R. Tanscheit, E. Sharf. Controle de um braço mecânico através de um controlador nebuloso self-organizing. Proceedings of the 8th Anais Congresso Brasileiro de Automática. Pará, Brazil. 1990. pp. 481-487.

R. Carneiro. Controle semi-ativo de vibrações em estruturas utilizando amortecedor magnetoreológico. Doctoral Thesis, Universidade de Brasília. Brasília, Brazil. 2009. pp. 135.

A. Contento, V. Gattulli, M. Lepidi, F. Potenza. Identificazione di modelli per un protótipo sperimentale di telaio tridimensionale com controventi semi-attivi. Report DISAT-UOIS N.° 2. L’Aquila, Italy. 2006. pp. 33.

L. Lara. Estudo de algoritmos de controle semiativo aplicados a amortecedores magnetoreológicos. Doctoral Thesis, Universidade de Brasília. Brasília, Brazil. 2011. pp. 223.

L. Lara, J. Brito, Y. Valencia. “Reducción de vibraciones en un edificio mediante la utilización de amortiguadores magnetoreológicos”. DYNA. Vol. 171. 2012. pp. 205-214.

M. Basili. Controllo semi attivo di strutture adiacenti mediante dispositivi magnetoreologici: teoria, sperimentazione e modellazione. Doctoral Thesis, Università degli studi di Roma “La Sapienza”. Rome, Italy. 2006.

Y. Liu, F. Gordaninejad, C. Evrensel, G. Hitchcock. “An Experimental Study on Fuzzy Logic Vibration Control of a Bridge Using Fail-Safe Magneto-Rheological Fluid Dampers”. SPIE - The International Society for Optical Engineering. Vol. 4330. 2001. pp. 281-288. DOI: https://doi.org/10.1117/12.434135

C. Dias. Fuzzy Control of Magnetorheological Dampers for Vibration Reduction of Seismically Excited Structures. Ph.D. Dissertation, Florida State University. Tallahassee. Florida, USA. 2005. pp. 1-454.

Published

2015-02-19

How to Cite

Lara-Valencia, L. A., Valencia-Gonzalez, Y., & Vital de Brito, J. L. (2015). Use of fuzzy logic for the administration of a structural control system based on magnetorheological dampers. Revista Facultad De Ingeniería Universidad De Antioquia, (74), 151–164. https://doi.org/10.17533/udea.redin.16461