Smart Structures and Systems

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Semi-active control of smart building-MR damper systems using novel TSK-Inv and max-min algorithms

  • Askari, Mohsen (Institute for Infrastructure Engineering, University of Western Sydney (UWS)) ;
  • Li, Jianchun (Faculty of Engineering and IT, University of Technology Sydney (UTS)) ;
  • Samali, Bijan (Institute for Infrastructure Engineering, University of Western Sydney (UWS))
  • Received : 2015.08.06
  • Accepted : 2016.08.27
  • Published : 2016.11.25
⟨ Previous Next ⟩

Abstract

Two novel semi-active control methods for a seismically excited nonlinear benchmark building equipped with magnetorheological dampers are presented and evaluated in this paper. While a primary controller is designed to estimate the optimal control force of a magnetorheological (MR) damper, the required voltage input for the damper to produce such desired control force is achieved using two different methods. The first technique uses an optimal compact Takagi-Sugeno-Kang (TSK) fuzzy inverse model of MR damper to predict the required voltage to actuate the MR dampers (TSKFInv). The other voltage regulator introduced here works based on the maximum and minimum capacities of MR damper at each time-step (MaxMin). Both semi-active algorithms developed here, use acceleration feedback only. The results demonstrate that both TSKFInv and MaxMin algorithms are quite effective in seismic response reduction for wide range of motions from moderate to severe seismic events, compared with the passive systems and performs better than original and Modified clipped optimal controller systems, known as COC and MCOC.

Keywords

References

  1. Askari, M. and Davaie-Markazi, A.H. (2008), "Multi-objective optimal fuzzy logic controller for nonlinear building-MR damper system", Proceedings of the Systems, Signals and Devices, 2008. IEEE SSD 2008. 5th International Multi-Conference on, IEEE.
  2. Askari, M., Li, J. and Samali, B. (2011), "Semi-active LQG control of seismically excited nonlinear buildings using optimal Takagi-Sugeno inverse model of MR dampers", Procedia Eng., 14, 2765-2772. https://doi.org/10.1016/j.proeng.2011.07.348
  3. Askari, M., Li, J., Samali, B. and Gu, X. (2015), "Experimental forward and inverse modelling of magnetorheological dampers using an optimal Takagi-Sugeno-Kang fuzzy scheme", J. Intel. Mat. Syst. Str., 1045389X15604403.
  4. Bitaraf, M. and Hurlebaus, S. (2013), "Semi-active adaptive control of seismically excited 20-story nonlinear building", Eng. Struct., 56, 2107-2118. https://doi.org/10.1016/j.engstruct.2013.08.031
  5. Bitaraf, M., Ozbulut, O.E., Hurlebaus, S. and Barroso, L. (2010), "Application of semi-active control strategies for seismic protection of buildings with MR dampers", Eng. Struct., 32(10), 3040-3047. https://doi.org/10.1016/j.engstruct.2010.05.023
  6. Esteki, K., Bagchi, A. and Sedaghti, R. (2015), "Semi-active control of seismic response of a building using MR fluid-based tuned mass damper", Smart Struct. Syst., 16(5), 807-833. https://doi.org/10.12989/sss.2015.16.5.807
  7. Huang, H., Liu, J. and Sun, L. (2015), "Full-scale experimental verification on the vibration control of stay cable using optimally tuned MR damper", Smart Struct. Syst., 16(6), 1003-1021. https://doi.org/10.12989/sss.2015.16.6.1003
  8. Karamodin, A., Haji-Kazemi, H., Rowhanimanesh, A. and Akbarzadeh Totonchi, M.R. (2009), "Semi-active control of structures using a neuro-inverse model of MR dampers", Scientia Iranica, 16, 256-263.
  9. Li, H.N., Yi, T.-H., Jing, Q.Y., Huo, L.S. and Wang, G.X. (2011), "Wind-induced vibration control of Dalian international trade mansion by tuned liquid dampers", Math. Probl. Eng., 2012.
  10. Li, H.N., Yi, T.H., Ren, L., Li, D.S. and Huo, L.S. (2014), "Reviews on innovations and applications in structural health monitoring for infrastructures", Struct. Monit. Maint., 1(1), 1-45. https://doi.org/10.12989/SMM.2014.1.1.001
  11. Ohtori, Y., Christenson, R., Spencer Jr., B.F. and Dyke, S. (2004), "Benchmark control problems for seismically excited nonlinear buildings", J. Eng. Mech. - ASCE, 130(4), 366-385. https://doi.org/10.1061/(ASCE)0733-9399(2004)130:4(366)
  12. Ozbulut, O.E. and Hurlebaus, S. (2012), "Application of an SMA-based hybrid control device to 20-story nonlinear benchmark building", Earthq. Eng. Struct. D., 41(13), 1831-1843. https://doi.org/10.1002/eqe.2160
  13. Spencer Jr., B.F., Dyke, S., Sain, M. and Carlson, J. (1997), "Phenomenological model for magnetorheological dampers", J. Eng. Mech. - ASCE, 123(3), 230-238. https://doi.org/10.1061/(ASCE)0733-9399(1997)123:3(230)
  14. Yang, G. (2001), Large-scale magnetorheological fluid damper for vibration mitigation: modeling, testing and control, University of Notre Dame.
  15. Yi, T.H., Li, H.N. and Sun, H.M. (2013), "Multi-stage structural damage diagnosis method based on", Smart Struct. Syst., 12(3-4), 345-361. https://doi.org/10.12989/sss.2013.12.3_4.345
  16. Ze-bing, D., Jin-zhi, H. and Hong-xia, W. (2004), "Semi-active control of a cable-stayed bridge under multiple-support excitations", J. Zhejiang University Sci., 5(3), 317-325. https://doi.org/10.1631/jzus.2004.0317

Cited by

  1. An integral based fuzzy approach to evaluate waste materials for concrete vol.19, pp.3, 2016, https://doi.org/10.12989/sss.2017.19.3.323
  2. Vibration control of a time-varying modal-parameter footbridge: study of semi-active implementable strategies vol.20, pp.5, 2016, https://doi.org/10.12989/sss.2017.20.5.525
  3. Semi-active fuzzy based control system for vibration reduction of a SDOF structure under seismic excitation vol.21, pp.4, 2018, https://doi.org/10.12989/sss.2018.21.4.389
  4. Study on Structures Incorporated With MR Damping Material Based on PSO Algorithm vol.6, pp.None, 2019, https://doi.org/10.3389/fmats.2019.00037
  5. Chattering-free sliding mode control with a fuzzy model for structural applications vol.69, pp.3, 2016, https://doi.org/10.12989/sem.2019.69.3.307
  6. Nonlinear optimal control for reducing vibrations in civil structures using smart devices vol.23, pp.3, 2016, https://doi.org/10.12989/sss.2019.23.3.307
  7. Optimal Control for Footbridges’ Vibration Reduction Based on Semiactive Control Through Magnetorheological Dampers vol.19, pp.9, 2016, https://doi.org/10.1142/s0219455419501104
  8. Study on magnetorheological damper stiffness shift vol.25, pp.3, 2016, https://doi.org/10.12989/sss.2020.25.3.279
  9. Optimal tuned direct adaptive controller for seismic protecting of structures vol.32, pp.18, 2016, https://doi.org/10.1177/1045389x20988784