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Comparing fuzzy type-1 and -2 in semi-active control with TMD considering uncertainties

  • Ramezani, Meysam (International Institute of Earthquake Engineering and Seismology) ;
  • Bathaei, Akbar (School of Civil Engineering, College of Engineering, University of Tehran) ;
  • Zahrai, Seyed Mehdi (School of Civil Engineering, College of Engineering, University of Tehran)
  • Received : 2018.09.25
  • Accepted : 2019.01.17
  • Published : 2019.02.25

Abstract

In this study, Semi-active Tuned Mass Dampers (STMDs) are employed in order to cover the prevailing uncertainties and promote the efficiency of the Tuned Mass Dampers (TMDs) to mitigate undesirable structural vibrations. The damping ratio is determined using type-1 and type-2 Fuzzy Logic Controllers (T1 and T2 FLC) based on the response of the structure. In order to increase the efficiency of the FLC, the output membership functions are optimized using genetic algorithm. The results show that the proposed FLC can reduce the sensitivity of STMD to excitation records. The obtained results indicate the best operation for T1 FLC among the other control systems when the uncertainties are neglected. According to the irrefutable uncertainties, three supplies for these uncertainties such as time delay, sensors measurement noises and the differences between real and software model, are investigated. Considering these uncertainties, the efficiencies of T1 FLC, ground-hook velocity-based, displacement-based and TMD reduce significantly. The reduction rates for these algorithms are 12.66%, 26.43%, 20.98% and 21.77%, respectively. However, due to nonlinear behavior and considering a range of uncertainties in membership functions, T2 FLC with 7.2% reduction has robust performance against uncertainties compared to other controlling systems. Therefore, it can be used in actual applications more confidently.

Keywords

References

  1. Affenzeller, M., Wagner, S., Winkler, S. and Beham, A. (2009), Genetic algorithms and genetic programming: modern concepts and practical applications: Chapman and Hall/CRC.
  2. Baklouti, N. and Alimi, A.M. (2007), Motion planning in dynamic and unknown environment using an interval type-2 TSK fuzzy logic controller. Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International. IEEE, 1-6.
  3. Bathaei, A., Zahrai, S.M. and Ramezani, M. (2018), "Semi-active seismic control of an 11-DOF building model with TMD+ MR damper using type-1 and-2 fuzzy algorithms", J. Vib. Control, 24(13), 2938-2953. https://doi.org/10.1177/1077546317696369
  4. Bhattacharyya, S., Basu, D., Konar, A. and Tibarewala, D. (2015), "Interval type-2 fuzzy logic based multiclass ANFIS algorithm for real-time EEG based movement control of a robot arm", Robot. Auton. Syst., 68(1), 104-115. https://doi.org/10.1016/j.robot.2015.01.007
  5. Biglarbegian, M., Melek, W.W. and Mendel, J.M. (2010), "On the stability of interval type-2 TSK fuzzy logic control systems", IEEE T. Syst. Man Cy. B (Cybernetics), 40(3), 798-818. https://doi.org/10.1109/TSMCB.2009.2029986
  6. Bortoluzzi, D., Casciati, S., Elia, L. and Faravelli, L. (2015), "Design of a TMD solution to mitigate wind-induced local vibrations in an existing timber footbridge", Smart. Struct. Syst., 16(3), 459-478. https://doi.org/10.12989/sss.2015.16.3.459
  7. Bozdag, E., Asan, U., Soyer, A. and Serdarasan, S. (2015), "Risk prioritization in Failure Mode and Effects Analysis using interval type-2 fuzzy sets", Exp. Syst. Appl., 42(8), 4000-4015. https://doi.org/10.1016/j.eswa.2015.01.015
  8. Brezas, P., Smith, M.C. and Hoult, W. (2015), "A clipped-optimal control algorithm for semi-active vehicle suspensions: Theory and experimental evaluation", Automatica, 53(1), 188-194. https://doi.org/10.1016/j.automatica.2014.12.026
  9. Chen, X., Li, J., Li, Y. and Gu, X. (2016), "Lyapunov-based Semiactive Control of Adaptive Base Isolation System employing Magnetorheological Elastomer base isolators", Earthq. Struct., 11(6), 1077-1099. https://doi.org/10.12989/eas.2016.11.6.1077
  10. Chung, L.L., Wu, L.Y., Yang, C.S.W., Lien, K.H., Lin, M.C. and Huang, H.H. (2013), "Optimal design formulas for viscous tuned mass dampers in wind-excited structures", Struct. Control Health Monit., 20(3), 320-336. https://doi.org/10.1002/stc.496
  11. Di Martino, F. and Sessa, S. (2014), "Type-2 interval fuzzy rulebased systems in spatial analysis", Inform. Sci., 279(1), 199-212. https://doi.org/10.1016/j.ins.2014.03.114
  12. Domizio, M., Ambrosini, D. and Curadelli, O. (2015), "Performance of TMDs on nonlinear structures subjected to near-fault earthquakes", Smart. Struct. Syst., 6(4), 725-742.
  13. Goicoechea, A., Hansen, D.R. and Duckstein, L. (1982), Multiobjective decision analysis with engineering and business applications. John Wiley & Sons.
  14. Haupt, S. (2004), "Practical genetic algorithms", State College, Pennsylvania, John Wiley &Sons, inc. publication, 123-190.
  15. Hidaka, S., Ahn, Y.K. and Morishita, S. (1999), "Adaptive vibration control by a variable-damping dynamic absorber using ER fluid", J. Vib. Acoust., 121(3), 373-378. https://doi.org/10.1115/1.2893990
  16. Hoang, N. and Warnitchai, P. (2005), "Design of multiple tuned mass dampers by using a numerical optimizer", Earthq. Eng. Struct. D., 34(2), 125-144. https://doi.org/10.1002/eqe.413
  17. Innocent, P., John, R., Belton, I. and Finlay, D. (2001), "Type 2 fuzzy representations of lung scans to predict pulmonary emboli", Proceedings of the IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th. IEEE, 1902-1907.
  18. Ioi, T. and Ikeda, K. (1978), "On the dynamic vibration damped absorber of the vibration system", Bulletin of JSME, 21(151), 64-71. https://doi.org/10.1299/jsme1958.21.64
  19. Jimenez-Alonso, J.F. and Saez, A. (2018), "Motion-baseddesign of TMD for vibrating footbridges under uncertainty conditions", Smart. Struct. Syst., 21(6), 727-740. https://doi.org/10.12989/SSS.2018.21.6.727
  20. Kim, H.S. and Kang, J.W. (2012), "Semi-active fuzzy control of a wind-excited tall building using multi-objective genetic algorithm", Eng. Struct., 41(1), 242-257. https://doi.org/10.1016/j.engstruct.2012.03.038
  21. Kim, H.S. and Kim, Y. (2014), "Control performance evaluation of shared tuned mass damper", Adv. Sci. Technol. Lett., 69(1), 1-4.
  22. Koo, J.H., Ahmadian, M., Setareh, M. and Murray, T. (2004), "In search of suitable control methods for semi-active tuned vibration absorbers", Modal Anal., 10(2), 163-174. https://doi.org/10.1177/1077546304032020
  23. Lee, C.L., Chen, Y.T., Chung, L.L. and Wang, Y.P. (2006), "Optimal design theories and applications of tuned mass dampers", Eng. Struct., 28(1), 43-53. https://doi.org/10.1016/j.engstruct.2005.06.023
  24. Li, C. and Qu, W. (2006), "Optimum properties of multiple tuned mass dampers for reduction of translational and torsional response of structures subject to ground acceleration", Eng. Struct., 28(4), 472-494. https://doi.org/10.1016/j.engstruct.2005.09.003
  25. Liu, M.Y., Chiang, W.L., Hwang, J.H. and Chu, C.R. (2008), "Wind-induced vibration of high-rise building with tuned mass damper including soil-structure interaction", J. Wind Eng. Ind. Aerod., 96(6-7), 1092-1102. https://doi.org/10.1016/j.jweia.2007.06.034
  26. Mamdani, E.H. and Assilian, S. (1975), "An experiment in linguistic synthesis with a fuzzy logic controller", Int. J. Man-Machine Studies, 7(1), 1-13. https://doi.org/10.1016/S0020-7373(75)80002-2
  27. Mitchell, R., Kim, Y., El-Korchi, T. and Cha, Y.-J. (2013), "Wavelet-neuro-fuzzy control of hybrid building-active tuned mass damper system under seismic excitations", J. Vib. Control, 19(12), 1881-1894. https://doi.org/10.1177/1077546312450730
  28. Mohebbi, M., Shakeri, K., Ghanbarpour, Y. and Majzoub, H. (2013), "Designing optimal multiple tuned mass dampers using genetic algorithms (GAs) for mitigating the seismic response of structures", J. Vib. Control, 19(4), 605-625. https://doi.org/10.1177/1077546311434520
  29. Pastia, C. and Luca, S.G. (2013), "Vibration control of a frame structure using semi-active tuned mass damper", Buletinul Institutului Politehnic din lasi. Sectia Constructii, Arhitectura, 59(4), 31.
  30. Pinkaew, T. and Fujino, Y. (2001), "Effectiveness of semi-active tuned mass dampers under harmonic excitation", Eng. Struct., 23(7), 850-856. https://doi.org/10.1016/S0141-0296(00)00091-2
  31. Pourzeynali, S. and Salimi, S. (2015), "Robust multi-objective optimization design of active tuned mass damper system to mitigate the vibrations of a high-rise building", Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 229(1), 26-43. https://doi.org/10.1177/0954406214531942
  32. Pourzeynali, S., Salimi, S., Yousefisefat, M. and Kalesar, H.E. (2016), "Robust multi-objective optimization of STMD device to mitigate buildings vibrations", Earthq. Struct., 11(2), 347-369. https://doi.org/10.12989/eas.2016.11.2.347
  33. Ramezani, M., Bathaei, A. and Zahrai, S.M. (2017), "Designing fuzzy systems for optimal parameters of TMDs to reduce seismic response of tall buildings", Smart. Struct. Syst., 20(1), 61-74. https://doi.org/10.12989/sss.2017.20.1.61
  34. Scawthorn, C. and Chen, W.-F. (2002), Earthquake engineering handbook: CRC press.
  35. Sepulveda, R., Castillo, O., Melin, P., Rodriguez-Diaz, A. and Montiel, O. (2007), "Experimental study of intelligent controllers under uncertainty using type-1 and type-2 fuzzy logic", Inform. Sci., 177(10), 2023-2048. https://doi.org/10.1016/j.ins.2006.10.004
  36. Setareh, M. (2001), "Use of semi-active tuned mass dampers for vibration control of force-excited structures", Struct. Eng. Mech., 11(4), 341-356. https://doi.org/10.12989/sem.2001.11.4.341
  37. Shahnazi, R. (2016), "Observer-based adaptive interval type-2 fuzzy control of uncertain MIMO nonlinear systems with unknown asymmetric saturation actuators", Neurocomputing, 171(1), 1053-1065. https://doi.org/10.1016/j.neucom.2015.07.098
  38. Shariatmadar, H. and Meshkat Razavi, H. (2014), "Seismic control response of structures using an ATMD with fuzzy logic controller and PSO method", Struct. Eng. Mech., 51(4), 547-564. https://doi.org/10.12989/sem.2014.51.4.547
  39. Starkey, A., Hagras, H., Shakya, S. and Owusu, G. (2016), "A multi-objective genetic type-2 fuzzy logic based system for mobile field workforce area optimization", Inform. Sci., 329(1), 390-411. https://doi.org/10.1016/j.ins.2015.09.014
  40. Tao, C.W., Taur, J.S., Chang, C.W. and Chang, Y.H. (2012), "Simplified type-2 fuzzy sliding controller for wing rock system", Fuzzy Set. Syst., 207(1), 111-129. https://doi.org/10.1016/j.fss.2012.02.015
  41. Varadarajan, N. and Nagarajaiah, S. (2004), "Wind response control of building with variable stiffness tuned mass damper using empirical mode decomposition/Hilbert transform", J. Eng. Mech. - ASCE, 30(4), 451-458. https://doi.org/10.1061/(ASCE)0733-9399(2004)130:4(451)
  42. Wu, D. (2010), "A brief Tutorial on Interval type-2 fuzzy sets and systems", Fuzzy Set. Syst.,
  43. Wu, G.D. and Huang, P.H. (2013), "A vectorization-optimization- method-based type-2 fuzzy neural network for noisy data classification", IEEE T. Fuzzy Syst., 21(1), 1-15. https://doi.org/10.1109/TFUZZ.2012.2197754
  44. Wu, H. and Mendel, J.M. (2002), "Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems", IEEE T. Fuzzy Syst., 10(5), 622-639. https://doi.org/10.1109/TFUZZ.2002.803496
  45. Yau, J.D. and Yang, Y.B. (2004), "A wideband MTMD system for reducing the dynamic response of continuous truss bridges to moving train loads", Eng. Struct., 26(12), 1795-1807. https://doi.org/10.1016/j.engstruct.2004.06.015
  46. Zahrai, S., Zare, A., Khalili, M. and Asnafi, A. (2013), "Seismic design of fuzzy controller for semi-active tuned mass dampers using top stories as the mass", Asian J. Civil Eng., 14(3), 383-396.