Smart Structures and Systems

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Complete decentralized displacement control algorithm

  • Ruiz-Sandoval, M.E. (Department of Materials, Universidad Autonoma Metropolitana - Azcapotzalco.) ;
  • Morales, E. (Department of Materials, Universidad Autonoma Metropolitana - Azcapotzalco.)
  • Received : 2011.07.13
  • Accepted : 2012.08.22
  • Published : 2013.02.25
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Abstract

Control systems have been greatly studied in recent years and can be classified as: passive, active, semi-active or hybrid systems. Most forms of control systems have been applied in a centralized manner where all the information is sent to a central node where control the algorithm is then calculated. One of the possible problems of centralized control is the difficulty to scale its application. In this paper, a completely decentralized control algorithm is analytically implemented. The algorithm considers that each of the control systems makes the best decision based solely on the information collected at its location. Semi-active control is used in preference to active control because it has minimal energy consumption, little to no possibility of destabilization, a reduction in the possibility of data saturation, and a reduction in the response time in comparison to centralized control.

Keywords

References

  1. Cupich, R.M. and Elizondo, G.F.J. (1998), "Amortiguadores Magnetoreologicos", En Ingenierias. Monterrey, Nuevo Leon: Facultad de Ingenieria Mecanica y Electrica de la Universidad Autonoma de Nuevo Leon, I(2), 50-54.
  2. Dyke, S.J., Spencer Jr. B.F., Quast, P., Kaspari, D.C. and Sain, M.K. (1996), "Implementation of an active mass driver using acceleration feedback control", Microcomput.Civil Eng., 11(5) 305-323.
  3. Housner, G.W., Bergman, L.A., Caughey, T.K., Chassiakos, A.G., Claus, R.O., Masri, S.F., Skelton, T.E., Soong, T.T., Spencer, B.F. and Yao, J.T.P. (1997) "Structural control: past, present and future", J. Eng. Mech. Am. Soc., 123(9) 897-971. https://doi.org/10.1061/(ASCE)0733-9399(1997)123:9(897)
  4. Kurata, N., Kobori, T., Takahashi, M., Niwa, N. and Midorikawa, H. (1999), "Actual seismic response controlled building with semi-active damper system", Earthq. Eng. Struct. D., 28(11) 1427-1447. https://doi.org/10.1002/(SICI)1096-9845(199911)28:11<1427::AID-EQE876>3.0.CO;2-#
  5. Kurino, H., Yamada, T., Matsugada, Y. and Tagami, J. (2006) "Switching oil damper with automatic valve operation system for structural control", Proceedings of the 4th World Conference on Structural Control and Monitoring, San Diego, California: University of California, July . 4WCSCM-217.
  6. Loh, Chin-Hsiung and Chang, Chia-ming (2008), "Application of centralized and decentralized control to building structure: analytical study ", J. Engrg. Mech., 134(11) 970-982 https://doi.org/10.1061/(ASCE)0733-9399(2008)134:11(970)
  7. Lynch, J.P. (2002), Decentralization of wireless monitoring and control technologies for smart civil structures, Doctoral thesis of Philosophy: Stanford University, August
  8. Ma, T.W., Xu, N.S. and Tang, Y. (2008), "Decentralized robust control of building structures under seismic excitations", Earthq. Eng. Struct. D., 37(1), 121-140. https://doi.org/10.1002/eqe.748
  9. MATLAB. The MathWorks, Inc.
  10. Ma, T.W., Xu, N.S. and Tang, Y. (2008), "Decentralized robust control of building structures under seismic excitations", Earthq. Eng. Struct. D., 37, 121-140. https://doi.org/10.1002/eqe.748
  11. Wang, Y., Lynch, J.P and Law, K.W. (2009), "Decentralized $H{\infty}$ controller design for large-scale civil structures", Earthq. Eng. Struct. D., 38, 377-340. https://doi.org/10.1002/eqe.862

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