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OBSERVER BASED OPTIMAL CONTROL OF MR DAMPERS

Eroglu, Mehmet A.; Sims, Neil D.;

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Magneto-rheological, or MR, dampers are one of the most promising semi-active control devices for protecting civil engineering structures, vehicles, ships, or aircraft from the damaging effects of dynamic loading. They have many advantages over alternative technologies, such as low power requirement, reliability, and low cost. A wide range of control schemes have been considered for MR dampers, with no general consensus on the most appropriate approach. Research at the University of Sheffield has focused on feedback linearization, but this requires measurement of the damping force which increases the complexity of the system. This study aims to overcome this problem and improve the vibration absorbability of the system by investigating the application of observer based optimal control to the force-feedback linearization of an MR damper. The proposed force-feedback linearization chose the set point force as proportional to the piston velocity. But in this study, in order improve the performance of the system, the desired set point force is chosen to be the optimal control force. The implementation of the optimal control theory requires the measurement of the system states (displacement and velocity of the mass), are provided by the observer as well. Due to passivity limitation of the MR damper the set point force is diverted to the zero at the active region to satisfy the passivity theory of Karnopp. The results of this study is compared to observer based force-feedback linearization algorithm and it is concluded that the proposed control system is able to reduce the displacement transmissibility of the damped system better then the compared one.

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Palavras-chave: Smart Fluids, Optimal Control, Observer, Force-feedback linearization,

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DOI: 10.5151/meceng-wccm2012-20224

Referências bibliográficas
  • [1] B. Spencer Jr, et al., "Frequency domain optimal control strategies for aseismic protection," Journal of Engineering Mechanics, vol. 120, p. 135, 1994.
  • [2] D. G. Luenberger, "Observing state of linear system," IEEE Transactions on Military Electronics, vol. MIL8, pp. 74-Andamp;, 1964.
  • [3] D. Karnopp, "Active and semi-active vibration isolation," Journal of Mechanical Design, vol. 117, p. 177, 1995.
  • [4] D. Karnopp, et al., "Vibration control using semi-active force generators," Journal of Engineering for Industry, vol. 96, pp. 619-626, 197 *For this problem R is scalar.
  • [5] J. P. Den Hartog, “Mechanical vibrations,” Dover Pubns, 198
  • [6] K. Ogata, “Modern control engineering,” Prentice Hall PTR, 2001.
  • [7] N. Sims and R. Stanway, "Semi-active vehicle suspension using smart fluid dampers: a modelling and control study," International Journal of Vehicle Design, vol. 33, pp. 76-102, 2003.
  • [8] N. D. Sims, et al., "A unified modelling and model updating procedure for electrorheological and magnetorheological vibration dampers," Smart Materials Andamp; Structures, vol. 13, pp. 100-121, Feb 2004.
  • [9] N. D. Sims, et al., "Controllable viscous damping: an experimental study of an electrorheological long-stroke damper under proportional feedback control," Smart Materials and Structures, vol. 8, p. 601, 199
  • [10] N. D. Sims, et al., "Smart fluid damping: Shaping the force/velocity response through feedback control," Journal of Intelligent Material Systems and Structures, vol. 11, pp. 945-958, Dec 2000.
  • [11] N. D. Sims, et al., "Vibration control using smart fluids: a state-of-the-art review," The Shock and vibration digest, vol. 31, pp. 195-203, 1999.
  • [12] R. Sharp and S. Hassan, "The relative performance capabilities of passive, active and semi-active car suspension systems," ARCHIVE: Proceedings of the Institution of Mechanical Engineers, Part D: Transport Engineering 1984-1988 (vols 198-202), vol. 200, pp. 219-228, 1986.
  • [13] S. Dyke and N. C. f. E. E. Research, "Experimental verification of acceleration feedback control strategies for an active tendon system,": National Center for Earthquake Engineering Research, 1994.
  • [14] S. Dyke, et al., "Implementation of an active mass driver using acceleration feedback control," Computer-Aided Civil and Infrastructure Engineering, vol. 11, pp. 305-323, 1996.
  • [15] S. Dyke, et al., "Modeling and control of magneto-rheological dampers for seismic response reduction," Smart Materials and Structures, vol. 5, p. 565, 1996.
  • [16] S. Dyke, et al., "Role of control-structure interaction in protective system design," Journal of Engineering Mechanics, vol. 121, pp. 322-338, 1995.
  • [17] S. Timoshenko, "Vibration problems in engineering," 1974.
Como citar:

Eroglu, Mehmet A.; Sims, Neil D.; "OBSERVER BASED OPTIMAL CONTROL OF MR DAMPERS", p. 5040-5051 . In: In Proceedings of the 10th World Congress on Computational Mechanics [= Blucher Mechanical Engineering Proceedings, v. 1, n. 1]. São Paulo: Blucher, 2014.
ISSN 2358-0828, DOI 10.5151/meceng-wccm2012-20224

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