A NEW HYBRID OPTIMAL-BASED ROBUST AND PROPORTIONAL–INTEGRAL– DERIVATIVE CONTROL FOR VIBRATION CONTROL OF A SEISMIC-EXCITED STRUCTURES, 205-213.

Seyed M.H. Baygi,∗ Ali Karsaz,∗ and Javad Faraji∗

References

  1. [1] J.T.P. Yao, Concept of structural control, Journal of theStructural Division, 98(7), 1972, 1567–1574.211
  2. [2] C. Roberts and D. Ewins, Multi-axis vibration test-ing of an aerodynamically excited structure, Journalof Vibration and Control, 24(2), 2016, 427–437. doi:10.1177/1077546316642064.
  3. [3] X. Dong, Z. Peng, and G. Meng, Vibration control ofa lead zirconate titanate structure considering controller–structure interactions, Journal of Low Frequency Noise, Vi-bration and Active Control, 37(4), 2018, 1201–1218. doi:10.1177/1461348418795372.
  4. [4] T.K. Datta, A state-of-the-art review on active control ofstructures, ISET Journal of Earthquake Technology, 40, 2003,1–17.
  5. [5] G.W. Housner, et al., Structural control: Past, present andfuture, Journal of Engineering Mechanics, 123, 1997, 897–974.
  6. [6] S. Pourzeynali, H. Lavasani, and A. Modarayi, Active controlof high rise building structures using fuzzy logic and geneticalgorithms, Engineering Structures, 29(3), 2007, 346–357.
  7. [7] A. Bathaei, S. Zahrai, and M. Ramezani, Semi-active seis-mic control of an 11-DOF building model with TMD+MRdamper using type-1 and -2 fuzzy algorithms, Journalof Vibration and Control, 24(13), 2017, 2938–2953. doi:10.1177/1077546317696369.
  8. [8] Y. Eljajeh and M. Petkovski, Self-adaptive approach for optimi-sation of passive control systems for seismic resistant buildings,Bulletin of Earthquake Engineering, 16(7), 2018, 3171–3194.doi: 10.1007/s10518-018-0309-9.
  9. [9] T. Manjunath and B. Bandyopadhyay, Vibration controlof a smart structure using periodic output feedback tech-nique, Asian Journal of Control, 6(1), 2008, 74–87. doi:10.1111/j.1934-6093.2004.tb00185.x.
  10. [10] P. Bagheri, A. Ramirez-Serrano, and J.K. Pieper, Adaptivenonlinear robust control of a novel unconventional unmannedaerial vehicle, Control and Intelligent Systems, 43(1), 2015.
  11. [11] C. Li and J. Mao, Adaptive vibration control on sixdegree-of-freedom magnetostrictive smart structure, Ma-terials Science Forum, 546-549, 2007, 2199–2204. doi:10.4028/www.scientific.net/msf.546-549.2199.
  12. [12] C. Zhou, X. Zhao, and Q. Yu, Adaptive robust control for activesuspension system using T–S fuzzy model approach, MechatronSystems Control (Former Control Intelligent Systems), 46(2),2018, 46–54.
  13. [13] E. Glbahe and M. elik, Active vibration control of a smart beamby a tuner-based PID controller, Journal of Low FrequencyNoise, Vibration and Active Control, 37(4), 2018, 1125–1133.doi: 10.1177/1461348418782169.
  14. [14] K. Park and S. Ok, Modal-space reference-model-tracking fuzzycontrol of earthquake excited structures, Journal of Sound andVibration, 334, 2015, 136–150.
  15. [15] F. Shirazi, J. Mohammadpour, K. Grigoriadis, and G. Song,Identification and control of an MR damper with stiction effectand its application in structural vibration mitigation, IEEETransactions on Control Systems Technology, 20(5), 2012,1285–1301.
  16. [16] H. Bui, C. Nguyen, N. Vu, and C. Nguyen, General designmethod of hedge-algebras-based fuzzy controllers and an appli-cation for structural active control, Applied Intelligence, 43(2),2015, 251–275.
  17. [17] Y. Chen, W. Zhang, and H. Gao, Finite frequency controlfor building under earthquake excitation, Mechatronics, 20(1),2010, 128–142.
  18. [18] S.Pourzeynali, S. Salimi, H. Eimani Kalesar, Robust multi-objective optimization design of TMD control device to reducetall building responses againstearthquake excitations usinggenetic algorithms, Scientia Iranica, Transactions A: CivilEngineering, 20, 2013, 207–221.
  19. [19] A. Heidari, S. Etedali, and M. Javaheri-Tafti, A hybrid LQR-PID control design for seismic control of buildings equippedwith ATMD, Frontiers of Structural and Civil Engineering,12(1), 2017, 44–57.
  20. [20] S. Etedali, A. Zamani, and S. Tavakoli, A GBMO-based PIλ D μ controller for vibration mitigation of seismic-excitedstructures, Automation in Construction, 87, 2018, 1–12. doi:10.1016/j.autcon.2017.12.005.
  21. [21] R. Mitchell, Y. Kim, T. El-Korchi, and Y. Cha, Wavelet-neuro-fuzzy control of hybrid building-active tuned mass dampersystem under seismic excitations, Journal of Vibration andControl, 19(12), 2012, 1881–1894.
  22. [22] M. Uz and M. Hadi, Optimal design of semi active controlfor adjacent buildings connected by MR damper based onintegrated fuzzy logic and multi-objective genetic algorithm,Engineering Structures, 69, 2014, 135–148.
  23. [23] A. Ahlawat and A. Ramaswamy, Multiobjective optimal ab-sorber system for torsionally coupled seismically excited struc-tures, Engineering Structures, 25(7), 2003, 941–950.
  24. [24] S. Thenozhi and W. Yu, Active vibration control of buildingstructures using fuzzy proportional-derivative/proportional-integral-derivative control, Journal of Vibration and Control,21(12), 2013, 2340–2359. doi: 10.1177/1077546313509127.
  25. [25] Y. Zhao and E. Collins, Fuzzy PI control design for an industrialweigh belt feeder, IEEE Transactions on Fuzzy Systems, 11(3),2003, 311–319.
  26. [26] M. Brodersen, A. Bjrke, and J. Hgsberg, Active tuned massdamper for damping of offshore wind turbine vibrations, WindEnergy, 20(5), 2016, 783–796. doi: 10.1002/we.2063.
  27. [27] Y. Taskin, I. Yuksek, and N. Yagiz, Vibration control of vehicleswith active tuned mass damper, Journal of Vibroengineering,19(5), 2017, 3533–3541. doi: 10.21595/jve.2017.18138.
  28. [28] J. Love and C. Lee, Nonlinear series-type tuned mass damper-tuned sloshing damper for improved structural control, Jour-nal of Vibration and Acoustics, 141(2), 2018, 021006. doi:10.1115/1.4041513.
  29. [29] A. Zamani, S. Tavakoli, and S. Etedali, Fractional or-der PID control design for semi-active control of smartbase-isolated structures: A multi-objective cuckoo searchapproach, ISA Transactions, 67, 2017, 222–232. doi:10.1016/j.isatra.2017.01.012.
  30. [30] S. Hadad Baygi and A. Karsaz, A hybrid optimal PID-LQRcontrol of structural system: A case study of salp swarmoptimization, 2018 3rd Conference on Swarm Intelligence andEvolutionary Computation (CSIEC), Kerman, 2018, 1–6.
  31. [31] S. Mirjalili and A. Lewis, The whale optimization algorithm,Advances in Engineering Software, 95, 2016, 51–67.
  32. [32] A. Zamani, S. Tavakoli, S. Etedali, and J. Sadeghi, Onlinetuning of fractional order fuzzy PID controller in smart seismicisolated structures, Bulletin of Earthquake Engineering, 16(7),2017, 3153–3170. doi: 10.1007/s10518-017-0294-4.
  33. [33] F. Lin, Robust Control Design: An Optimal Control Approach(John Wiley & Sons, West Sussex, England, 2007).
  34. [34] M.L. James, G.M. Smith, J.C. Wolford, and P.W. Whaley,Vibration of Mechanical and Structural Systems, 2nd ed. (NewYork, NY: Harper Collins College Publishers, 1994), 432–435.
  35. [35] MATLAB (Natick, MA: The Math Works. Inc 2000).
  36. [36] S.M.H. Baygi, A. Karsaz, and A. Elahi, A hybrid optimal PID-fuzzy control design for seismic exited structural system againstearthquake: a salp swarm algorithm. In 2018 6th Iranian JointCongress on Fuzzy and Intelligent Systems (CFIS) IEEE, 2018,pp. 220–225.

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