Smart Structures and Systems

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Implementation of Uniform Deformation Theory in semi-active control of structures using fuzzy controller

  • Received : 2015.10.31
  • Accepted : 2017.01.23
  • Published : 2017.04.25
⟨ Previous Next ⟩

Abstract

Protection of structures against natural hazards such as earthquakes has always been a major concern. Semi-active control combines the reliability of passive control and versatility and adaptability of active control. So it has recently become a preferred control method. This paper proposes an algorithm based on Uniform Deformation Theory to mitigate vulnerable buildings using magneto-rheological (MR) damper. Due to the successful performance of fuzzy logic in control of systems and its simplicity and intrinsically robustness, it is used here to regulate MR dampers. The particle swarm optimization (PSO) algorithm is also used as an adaptive method to develop a fuzzy control algorithm that is able to create uniform inter-story drifts. Results show that the proposed algorithm exhibited a desirable performance in reducing both linear and nonlinear seismic responses of structures. Performance of the presented method is indicated in compare with passive-on and passive-off control algorithms.

Keywords

References

  1. Battaini, M., Casciati, F. and Faravelli L. 1998 "Fuzzy control of structural vibration. An active mass system driven by a fuzzy controller" Earthq. Eng. Struct. D., 27(11), 1267-1276. https://doi.org/10.1002/(SICI)1096-9845(1998110)27:11<1267::AID-EQE782>3.0.CO;2-D
  2. Bitaraf, M., Ozbulut, O.E., Hurlebaus, S. and Barroso, L.R. 2010 "Application of semi-active control strategies for seismic protection of buildings with MR dampers" J. Eng. Struct., 32(10), 3040-3047. https://doi.org/10.1016/j.engstruct.2010.05.023
  3. Bouc R. 1967 "Forced vibrations of mechanical systems with hysteresis" Proceedings of the 4th Conference on Nonlinear Oscillations, Prague, Czechoslovakia.
  4. Brogan, W.L. (1991), Modern Control Theory, Prentice-Hall, Englewood Cliffs, New Jersey, USA.
  5. Brown, C.B. and Yao, J.T.P. 1983 "Fuzzy sets and structural engineering" J. Struct. Eng., 109(5), 1211-1225. https://doi.org/10.1061/(ASCE)0733-9445(1983)109:5(1211)
  6. Casciati, F., Faravelli, L. and Yao, T. 1996 "Control of nonlinear structures using the fuzzy control approach" Nonlin. Dyn., 11(2), 171-187. https://doi.org/10.1007/BF00045000
  7. Cha, Y., Agrawal, A., Friedman, A., Phillips, B., Ahn, R., Dong, B., Dyke, S., Spencer, B., Ricles, J. and Christenson, R. (2014), "Performance validations of semiactive controllers on largescale moment-resisting frame equipped with 200-kN MR damper using real-time hybrid simulations" J. Struct. Eng., 140(10), 04014066. https://doi.org/10.1061/(ASCE)ST.1943-541X.0000982
  8. Chao, C.T. and Teng, C.C. 1997 "A PD-like self-tuning fuzzy controller without steady-state error" Fuzzy Set. Syst., 87(2), 141-154. https://doi.org/10.1016/S0165-0114(96)00022-X
  9. Chen, G. and Pham, T. (2000), Introduction to Fuzzy Sets, Fuzzy Logic and Fuzzy Control Systems, CRC Press, Boca Raton, USA.
  10. Chen, W.F. and Scawthorn, C. (2003), Earthquake Engineering Handbook, CRC Press, Boca Raton, FL, USA.
  11. Das D. Datta T.K. and Madan A. 2012 "ANN-cum-Fuzzy Control of Seismic Response using MR Dampers", 15th European Conference on Earthquake Engineering, Lisbon, September.
  12. Das D. Datta T.K. and Madan A. 2012 "Semiactive fuzzy control of the seismic response of building frames with MR dampers" Earthq. Eng. Struct. D., 41(1), 99-118. https://doi.org/10.1002/eqe.1120
  13. Driankov, D., Hellendoorn, H. and Reinfrank, M. (1993), An Introduction to Fuzzy Control, Heidelberg, Springer, Berlin, Germany.
  14. Dyke, S. and Spencer, B.F. 1996 "Seismic response control using multiple MR dampers" Proceedings of 2nd Int. Workshop on Struct. Control, Hong Kong, 163-173.
  15. Edalath S. 2007 "Fuzzy logic seismic vibration control of buildings" MS. Dissertation University of Cincinnati.
  16. Estekanchi, H.E., Vafai, A. and Sadeghazar, M. (2004), "Endurance time method for seismic analysis and design of structure" J. Scientia Iranica, 11(4), 361-370.
  17. Faravelli L. and Yao T. 1996 "Use of adaptive networks in fuzzy control of civil structures" Comput. Aid. Civ. Inf., 11(1), 67-76. https://doi.org/10.1111/j.1467-8667.1996.tb00310.x
  18. Faruque A. and Ramaswamy A. 2009 "Optimal fuzzy logic control for MDOF structural systems using evolutionary algorithms" Eng. Appl. Artif. Intel., 22(3), 407-419. https://doi.org/10.1016/j.engappai.2008.09.004
  19. Hung, W., XU, J., Zhu, D., Wu, Y., Lu, J. and Lu, K. (2010), "Semi-active vibration control using a magneto rheological (MR) damper with particle swarm optimization" Arab. J. Sci. Eng., 40(3), 747-762. https://doi.org/10.1007/s13369-015-1574-4
  20. Inaudi, J.A. 1997 "Modulated homogeneous friction: a semiactive damping strategy" Earthq. Eng. Struct. D., 26(3), 361- 376. https://doi.org/10.1002/(SICI)1096-9845(199703)26:3<361::AID-EQE648>3.0.CO;2-M
  21. Johnson, E.A. and Erkus B. 2007 "Dissipativity and performance analysis of smart dampers via LMI synthesis" Struct. Control Hlth. Monit., 14(3), 471-496. https://doi.org/10.1002/stc.169
  22. Juang, C. and Elton, D.J. 1986 "Fuzzy logic for estimation of earthquake intensity based on building damage records" Civ. Eng. Syst., 3(4), 187-191. https://doi.org/10.1080/02630258608970443
  23. Karami R. 2001 "Effects of shear strength distribution on the reduction of seismic damage of structures" Ph.D. Dissertation Sharif University of Technology, Tehran.
  24. Karami, R., El Naggar, M.H. and Moghaddam, H. (2004), "Optimum strength distribution for seismic resistant shear buildings" Int. J. Solids Struct., 41(22-23), 6597-6612. https://doi.org/10.1016/j.ijsolstr.2004.05.012
  25. Karamodin, A. and Kazemi, H. 2010 "Semi-active control of structures using neuro-predictive algorithm for MR dampers" Struct. Control Hlth. Monit., 127(3), 237-253.
  26. Kennedy, J., Eberhart, R. and Shi, Y. (2001), Swarm intelligence, Morgan Kaufmann, San Francisco, USA.
  27. Khanmohammadi, H.N., Pampanin, S., Chase, G. and Rodgers, G. 2014 "Semi-active control of structure with MR damper using wavelet-based LQR" Proceedings of NZSEE Conference, New Zealand.
  28. Kim H. 2013 "Development of MIMO fuzzy control system for seismic response reduction using multi-objective genetic algorithm" Adv. Sci. Technol. Lett., 32, 50-53.
  29. Kim, H. and Kang, J.W. 2012 "Semi-active fuzzy control of a wind-excited tall building using multi-objective genetic algorithm" J. Eng. Struct., 41, 242-257. https://doi.org/10.1016/j.engstruct.2012.03.038
  30. Kim, Y., Hurlebaus, S. and Langari, R. 2010 "Model-based multi-input, multi-output supervisory semi-active nonlinear fuzzy controller" Comput. Aid. Civ. Inf., 25(5), 387-393. https://doi.org/10.1111/j.1467-8667.2009.00649.x
  31. Liu, Y., Gordaninejad, F., Evrensel, C.A. and Hitchcock, G. 2001 "An experimental study on fuzzy logic vibration control of a bridge using fail-safe magneto-rheological fluid dampers" Proceedings of Smart Systems for Bridges, Structures, and Highways Conference, Newport Beach.
  32. McClamroch, N.H. and Gavin, H.P. 1995 "Closed loop structural control using electrorheological dampers" Proceedings of American Control Conference, Seattle, June.
  33. Moghaddam H. and Hajirasouliha I. 2006 "Toward more rational criteria for determination of design earthquake forces" Int. J. Solids Struct., 43(9), 2631-2645. https://doi.org/10.1016/j.ijsolstr.2005.07.038
  34. Moghaddam, H. and Karami R. 2003 "Towards a more efficient seismic loading for MDOF Structures" J. Struct. Eng., ASCE, 132(10), 1673-1677.
  35. Mohajer Rahbari N. and Talatahari S. 2014 "On the efficiency of semi-active smart structures: self-regulating MR dampers control system for tall buildings" Struct. Des. Tall Spec. Build., 23(16), 1027-1044. https://doi.org/10.1002/tal.1104
  36. Mohajer Rahbari, N., Farahmand Azar, B. and Talatahari, S. 2013 "Semi-active direct control method for seismic alleviation of structures using MR dampers" Struct. Control Hlth. Monit., 20(6), 1021-1042. https://doi.org/10.1002/stc.1515
  37. Mohajer Rahbari, N., Farahmand Azar, B. and Talatahari, S. 2013 "Semi-active direct control method for seismic alleviation of structures using MR dampers" Struct. Control Hlth. Monit., 20(6), 1021-1042. https://doi.org/10.1002/stc.1515
  38. Mousaad Aly A. 2013 "Vibration control of buildings using magnetorheological damper: A new control algorithm" J. Eng., 2013, 1-10.
  39. Ni, Y.Q., Chen, Y., Ko, J.M. and Cao, D.Q. 2002 "Neurocontrol of cable vibration using semi-active magnetorheological dampers", J. Eng. Struct., 24(3), 295-307. https://doi.org/10.1016/S0141-0296(01)00096-7
  40. Nishimori, K., Hirakawa, S., Hiraga, H. and Ishihara, N. (1994), "Selection of fuzzy control rules using automatic tuning of membership functions", Proceedings of NAFIPS-IFIS-NASA, San Antonio, December.
  41. Patrascu, M., Dumitrache, I. and Patrut, P. 2012 "A comparative study for advanced seismic vibration control algorithms" UPB Sci. Bull., 74(4), 3-16.
  42. Schurter, K.C. and Roschke, P.N. 2001 "Neuro-fuzzy control of structures using acceleration feedback" Smart Mater. Struct., 10(4), 770-779. https://doi.org/10.1088/0964-1726/10/4/322
  43. Shaikh Faruque A. 2008 "Semi-active control of earthquake induced vibrations in structures using MR dampers: Algorithm development, experimental verification and benchmark applications" Ph.D. Dissertation Indian Institute of Science, Bangalore.
  44. Shiraishi T. Nakaya N. and Morishita S. 2002 "Structural control by a variable damper using MR fluid" Proceedings of 6th International Conference on Motion and Vibration Control, Saitama, Japan.
  45. Wen, Y.K. 1976 "Method for random vibration of hysteretic systems" Eng. Mechanic Division, 102(2), 249-263.
  46. Wilson C.M.D. and Abdullah M. 2010 "Structural vibration reduction using self-tuning fuzzy control of magnetorheological dampers" B. Earthq. Eng., 8(4), 1037-1054. https://doi.org/10.1007/s10518-010-9177-7
  47. Xu, Z.D., Shen, Y.P. and Guo, Y.Q. 2003 "Semi-active control of structures incorporated with magnetorheological dampers using neural-networks" Smart Mater. Struct., 12(1), 80-87. https://doi.org/10.1088/0964-1726/12/1/309
  48. Yan G. and Zhou L. 2006 "Integrated fuzzy logic and genetic algorithms for multi-objective control of structures using MR dampers" J. Sound Vib., 296(1-2), 368-382. https://doi.org/10.1016/j.jsv.2006.03.011
  49. Yap J.T.P. 1972 "Concept of structural control" J. Struct. Div., 98(7), 1567-1574.
  50. Zadeh, L.A. 1965 "Fuzzy sets" J. Inform. Control, 8(3), 338-353. https://doi.org/10.1016/S0019-9958(65)90241-X
  51. Zhao Y. 2001 "Autotuning of an industrial weigh belt feeder" Ph.D. Dissertation, Florida State University, Tallahassee.
  52. Zhao, Y., Collins, E.G. Jr. and Dunlap D. 2003 "Genetic fuzzy parallel parking control for autonomous ground vehicles". Proceedings of the American Control Conference, Denver.

Cited by

  1. Vibration control in wind turbines to achieve desired system-level performance under single and multiple hazard loadings pp.15452255, 2018, https://doi.org/10.1002/stc.2261
  2. Nonlinear optimal control for reducing vibrations in civil structures using smart devices vol.23, pp.3, 2017, https://doi.org/10.12989/sss.2019.23.3.307
  3. Shaking table tests of magnetorheological damped frame to mitigate the response under real-time online control vol.28, pp.11, 2017, https://doi.org/10.1088/1361-665x/ab45fd
  4. Optimal Control for Footbridges’ Vibration Reduction Based on Semiactive Control Through Magnetorheological Dampers vol.19, pp.9, 2017, https://doi.org/10.1142/s0219455419501104