Adaptive Neuro-Fuzzy and Simple Adaptive Control Methods for Attenuating the Seismic Responses of Coupled Buildings with Semi-Active Devices: Comparative Study

Document Type : Regular Article


1 Ph.D. Candidate, Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, TX 77843, United States

2 Associate Professor, Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, TX 77843, United States


This paper describes two adaptive control methods for mitigating the seismic responses of two connected buildings with MR dampers at different levels. First method developed in this study is the adaptive neuro-fuzzy controller which consists of a fuzzy logic controller provided with learning algorithm based on adaptive neural networks. The learning algorithm is implemented to modify the parameters of the fuzzy logic controller such that its outputs track the behavior of predetermined training data. Second method is the simple adaptive controller which falls into the category of model-following adaptive strategies. In this method, a plant is commanded to follow a well-designed reference-model with desirable trajectories through a closed loop action. The coupled system consists of two adjacent buildings having different heights in order to separate the model shapes of the individual buildings. Different types of feedbacks such as displacement, velocity, and acceleration are employed to identify their impacts on the performance of the developed adaptive controllers. Numerical analyses are carried out for the complex system assuming no change in the nominal design parameters and then for the system where a change in these parameters is introduced. The results reveal that using the adaptive controllers developed in this study to regulate the MR dampers connecting the two adjacent buildings can successfully alleviate the seismic responses under various types and intensities of earthquakes.


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[1]       Barroso LR, Breneman SE, Smith HA. Evaluating the effectiveness of structural control within the context of performance-based engineering. Proc. Sixth US Natl. Conf. Earthq. Eng. Seattle, Washington, Earthq. Eng. Res. Inst., 1998.
[2]       Westermo BD. The dynamics of interstructural connection to prevent pounding. Earthq Eng Struct Dyn 1989;18:687–99. doi:10.1002/eqe.4290180508.
[3]       Richardson A, Walsh KK, Abdullah MM. Closed-form equations for coupling linear structures using stiffness and damping elements. Struct Control Heal Monit 2013;20:259–81. doi:10.1002/stc.490.
[4]       Seto K. Active vibration control of multiple buildings connected with active control bridges in response to large earthquakes. Proc. 1999 Am. Control Conf. (Cat. No. 99CH36251), IEEE; 1999, p. 1007–11 vol.2. doi:10.1109/ACC.1999.783192.
[5]       Matsumoto Y, Fukuda Y, Doi F, Seto K. Bending and Torsional Vibration Control for Flexible Structures arranged in Parallel. Trans Japan Soc Mech Eng Ser C 1998;64:414–20.
[6]       Mitsuta S, Okawa E, Seto K, Ito H. Active Vibration Control of Structures Arranged in Parallel. JSME Int Journal Ser C, Dyn Control Robot Des Manuf 1994;37:436–43. doi:10.1299/jsmec1993.37.436.
[7]       Yamada Y, Ikawa N, Yokoyama H, Tachibana E. Active control of structures using the joining member with negative stiffness. Proc. First World Conf. Struct. Control, vol. 2, 1994.
[8]       Schurter KC, Roschke PN. Neuro-fuzzy control of structures using acceleration feedback. Smart Mater Struct 2001;10:770–9. doi:10.1088/0964-1726/10/4/322.
[9]       Dyke SJ, Spencer BF, Sain MK, Carlson JD. An experimental study of MR dampers for seismic protection. Smart Mater Struct 1998;7:693–703. doi:10.1088/0964-1726/7/5/012.
[10]     Abdeddaim M, Ounis A, Shrimali MK, Datta TK. Retrofitting of a weaker building by coupling it to an adjacent stronger building using MR dampers. Struct Eng Mech 2017;62:197–208. doi:10.12989/sem.2017.62.2.197.
[11]     Amini F, Doroudi R. Control of a building complex with Magneto-Rheological Dampers and Tuned Mass Damper. Struct Eng Mech 2010;36:181–95. doi:10.12989/sem.2010.36.2.181.
[12]     Bharti SD, Dumne SM, Shrimali MK. Seismic response analysis of adjacent buildings connected with MR dampers. Eng Struct 2010;32:2122–33. doi:10.1016/j.engstruct.2010.03.015.
[13]     Bhaskararao A V, Jangid RS. Seismic response of adjacent buildings connected with dampers. 13th World Conf. Earthq. Eng., vol. 3143, 2004.
[14]     Uz ME, Hadi MNS. Optimal design of semi active control for adjacent buildings connected by MR damper based on integrated fuzzy logic and multi-objective genetic algorithm. Eng Struct 2014;69:135–48. doi:10.1016/j.engstruct.2014.03.006.
[15]     Gong X, Ruan X, Xuan S, Yan Q, Deng H. Magnetorheological Damper Working in Squeeze Mode. Adv Mech Eng 2014;6:410158. doi:10.1155/2014/410158.
[16]     Wong CW, Ni YQ, Lau SL. Steady‚ÄźState Oscillation of Hysteretic Differential Model. I: Response Analysis. J Eng Mech 1994;120:2271–98. doi:10.1061/(ASCE)0733-9399(1994)120:11(2271).
[17]     Spencer BF, Dyke SJ, Sain MK, Carlson JD. Phenomenological Model for Magnetorheological Dampers. J Eng Mech 1997;123:230–8. doi:10.1061/(ASCE)0733-9399(1997)123:3(230).
[18]     Barkana I. The beauty of simple adaptive control and new developments in nonlinear systems stability analysis, 2014, p. 89–113. doi:10.1063/1.4904568.
[19]     Kaufman H, Barkana I, Sobel K. Direct adaptive control algorithms: theory and applications. Springer Science & Business Media; 2012.
[20]     Symans MD, Kelly SW. Fuzzy logic control of bridge structures using intelligent semi-active seismic isolation systems. Earthq Eng Struct Dyn 1999;28:37–60. doi:10.1002/(SICI)1096-9845(199901)28:13.0.CO;2-Z.
[21]     Choi K-M, Cho S-W, Jung H-J, Lee I-W. Semi-active fuzzy control for seismic response reduction using magnetorheological dampers. Earthq Eng Struct Dyn 2004;33:723–36. doi:10.1002/eqe.372.
[22]     Burns R. Advanced control engineering. Elsevier; 2001.
[23]     Al-Fahdawi OAS, Barroso LR, Soares RW. Utilizing the Adaptive Control in Mitigating the Seismic Response of Adjacent Buildings Connected with MR Dampers. 2018 Annu. Am. Control Conf., IEEE; 2018, p. 912–7. doi:10.23919/ACC.2018.8431135.
[24]     Soares RW, Barroso LR, Al-Fahdawi OAS. Simple Adaptive Control Strategy Applied to Reduce Response of Bridge Structure Subjected to Changes in Plant. 2018 Annu. Am. Control Conf., IEEE; 2018, p. 86–91. doi:10.23919/ACC.2018.8431623.
[25]     Ulrich S, Hayhurst DL, Saenz Otero A, Miller D, Barkana I. Simple Adaptive Control for Spacecraft Proximity Operations. AIAA Guid. Navig. Control Conf., Reston, Virginia: American Institute of Aeronautics and Astronautics; 2014. doi:10.2514/6.2014-1288.
[26]     Bitaraf M, Hurlebaus S, Barroso LR. Active and Semi-active Adaptive Control for Undamaged and Damaged Building Structures Under Seismic Load. Comput Civ Infrastruct Eng 2012;27:48–64. doi:10.1111/j.1467-8667.2011.00719.x.
[27]     Amini F, Bitaraf M, Eskandari Nasab MS, Javidan MM. Impacts of soil-structure interaction on the structural control of nonlinear systems using adaptive control approach. Eng Struct 2018;157:1–13. doi:10.1016/j.engstruct.2017.11.071.
[28]     Al-Fahdawi OAS, Barroso LR, Soares RW. Simple adaptive control method for mitigating the seismic responses of coupled adjacent buildings considering parameter variations. Eng Struct 2019;186:369–81. doi:10.1016/j.engstruct.2019.02.025.
[29]     Jang J-S. ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cybern 1993;23:665–85.
[30]     Jang JSR, Sun CT, Mizutani E. Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review]. IEEE Trans Automat Contr 1997;42:1482–4. doi:10.1109/TAC.1997.633847.
[31]     Schurter KC, Roschke PN. Neuro-fuzzy control of structures using magnetorheological dampers. Proc. 2001 Am. Control Conf. (Cat. No.01CH37148), IEEE; 2001, p. 1097–102 vol.2. doi:10.1109/ACC.2001.945866.
[32]     BAR-KANA I, GUEZ A. Simple adaptive control for a class of non-linear systems with application to robotics. Int J Control 1990;52:77–99. doi:10.1080/00207179008953525.
[33]     Ioannou PA, PV K. Adaptive systems with reduced models 1983.
[34]     Ramallo JC, Johnson EA, Spencer BF. “Smart” Base Isolation Systems. J Eng Mech 2002;128:1088–99. doi:10.1061/(ASCE)0733-9399(2002)128:10(1088).
[35]     Spencer BF. Reliability of Randomly Excited Hysteretic Structures. vol. 21. Berlin, Heidelberg: Springer Berlin Heidelberg; 1986. doi:10.1007/978-3-642-82863-8.
[36]     Tse T, Chang CC. Shear-Mode Rotary Magnetorheological Damper for Small-Scale Structural Control Experiments. J Struct Eng 2004;130:904–11. doi:10.1061/(ASCE)0733-9445(2004)130:6(904).
[37]     Al-Fahdawi OAS, Barroso LR, Soares RW. Simple adaptive control for enhancing the seismic performance of nonlinear coupled buildings with smooth hysteretic behavior. Eng Struct 2019;191:536–548.