A hybrid LQR-PID control design for seismic control of buildings equipped with ATMD

Amir Hossein HEIDARI , Sadegh ETEDALI , Mohamad Reza JAVAHERI-TAFTI

Front. Struct. Civ. Eng. ›› 2018, Vol. 12 ›› Issue (1) : 44 -57.

PDF (1272KB)
Front. Struct. Civ. Eng. ›› 2018, Vol. 12 ›› Issue (1) : 44 -57. DOI: 10.1007/s11709-016-0382-6
RESEARCH ARTICLE
RESEARCH ARTICLE

A hybrid LQR-PID control design for seismic control of buildings equipped with ATMD

Author information +
History +
PDF (1272KB)

Abstract

This paper presents an efficient hybrid control approach through combining the idea of proportional-integral-derivative (PID) controller and linear quadratic regulator (LQR) control algorithm. The proposed LQR-PID controller, while having the advantage of the classical PID controller, is easy to implement in seismic-excited structures. Using an optimization procedure based on a cuckoo search (CS) algorithm, the LQR-PID controller is designed for a seismic- excited structure equipped with an active tuned mass damper (ATMD). Considering four earthquakes, the performance of the proposed LQR-PID controller is evaluated. Then, the results are compared with those given by a LQR controller. The simulation results indicate that the LQR-PID performs better than the LQR controller in reduction of seismic responses of the structure in the terms of displacement and acceleration of stories of the structure.

Keywords

seismic control / tuned mass dampers / cuckoo search / PID controller / LQR controller

Cite this article

Download citation ▾
Amir Hossein HEIDARI, Sadegh ETEDALI, Mohamad Reza JAVAHERI-TAFTI. A hybrid LQR-PID control design for seismic control of buildings equipped with ATMD. Front. Struct. Civ. Eng., 2018, 12(1): 44-57 DOI:10.1007/s11709-016-0382-6

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Datta T K. Control of Dynamic Response of Structures. Indo-US Symposium on Emerging Trends in Vibration and Noise Engineering, 1996, 18–20

[2]

Fisco N R, Adeli H. Smart structures: Part I-Active and semi-active control. Sci Iran, Trans A, 2011, 18(3): 275–284

[3]

Samali B, Al-Dawod M. Performance of a five-story benchmark model using an active tuned mass damper and a fuzzy controller. Engineering Structures, 2003, 25(13): 1597–1610

[4]

Samali B, Al-Dawod M, Kwok K C S, Naghdy F. Active control of cross wind response of 76-story tall building using a fuzzy controller. Journal of Engineering Mechanics, 2004, 130(4): 492–498

[5]

Pourzeynali S, Lavasani H H, Modarayi A H. Active control of high rise building structures using fuzzy logic and genetic algorithms. Engineering Structures, 2007, 29(3): 346–357

[6]

Huo L, Song G, Li H, Grigoriadis K. H∞robust control design of active structural vibration suppression using an active mass damper. Smart Mater Strut, 2008, 17

[7]

Fisco N R, Adeli H. Smart structures: Part II—Hybrid control systems and control strategies. Sci Iran, Trans A, 2011, 18(3): 285–295

[8]

Guclu R, Yazici H, Vibration control of a structure with ATMD against earthquake using fuzzy logic controllers. J Sound Vib, 2008, 318(1-2): 36–49

[9]

Shen Y, Homaifar A, Chen D. Vibration control of flexible structures using fuzzy logic and genetic algorithms. In: American Control Conference 2000. Chicago, IL, USA, 2000, 1: 448–452

[10]

Jung W J, Jeong W B, Hong S R, Choi S B. Vibration control of a flexible beam structure using squeeze-mode ER mount. Journal of Sound and Vibration, 2004, 273(1-2): 185–199

[11]

Fung R F, Liu Y T, Wang C C. Dynamic model of an electromagnetic actuator for vibration control of a cantilever beam with a tip mass. Journal of Sound and Vibration, 2008, 288(4-5): 957–980

[12]

Guclu R. Fuzzy-logic control of vibrations of analytical multi-degree-of-freedom structural systems. Turk J Eng Environ Sci, 2003, 27(3): 157–167

[13]

Guclu R. Sliding mode and PID control of a structural system against earthquake. Mathematical and Computer Modelling, 2006, 44(1-2): 210–217

[14]

Guclu R, Yazici H. Fuzzy-logic control of a non-linear structural system against earthquake induced vibration. Journal of Vibration and Control, 2007, 13(11): 1535–1555

[15]

Guclu R, Yazici H. Seismic-vibration mitigation of a nonlinear structural system with an ATMD through a fuzzy PID controller. Nonlinear Dynamics, 2009, 58(3): 553–564

[16]

Aguirre N, Ikhouane F, Rodellar J. Proportional-plus-integral semi active control using magneto- rheological dampers. Journal of Sound and Vibration, 2011, 330(10): 2185–2200

[17]

Etedali S, Sohrabi M R, Tavakoli S. Optimal PD/PID control of smart base isolated buildings equipped with piezoelectric friction dampers. Earthquake Engineering and Engineering Vibration, 2013, 12(1): 39–54

[18]

Etedali S, Sohrabi M R, Tavakoli S. An independent robust modal PID control approach for seismic control of buildings. J Civil Eng Urban, 2013, 3(5): 270–291

[19]

Subasri R, Natarajan A M, Sundaram S, Jianliang W. Neural aided discrete PID active controller for non-linear hysteretic base-isolation building. In: Proceedings of the 9th Asian Control Conference (ASCC). 2013, 1–8

[20]

Nigdeli S M. Effect of feedback on PID controlled active structures under earthquake excitations. Earthquakes and Structures, 2014, 6(2): 217–235

[21]

Yu W, Suresh T, Li X. Stable PID vibration control of building structures. In: Proceedings of the 19th World Congress-International Federation of Automatic Control, South Africa, 2014; 19(1): 4760–4765

[22]

Etedali S, Tavakoli S, Sohrabi M R. Design of a decoupled PID controller via MOCS for seismic control of smart structures. Earthquakes and Structures, 2016, 10(5): 1067–1087

[23]

Djajakesukma S L, Samali B, Nguyen H. Study of a semiactive stiffness damper under various earthquake inputs. Earthquake Engineering & Structural Dynamics, 2003, 31(10): 1757–1776

[24]

Ma T W, Yang T Y. Adaptive feedback–feedforward control of building structures. Journal of Engineering Mechanics, 2004, 130(7): 786–793

[25]

Yang J N, Agrawal A K, Samali B, Wu J. Benchmark problem for response control of wind-excited tall buildings. Journal of Engineering Mechanics, 2004, 130(4): 437–446

[26]

Mei G, Kareem A, Kantor J C. Model predictive control of wind excited building: benchmark study. Journal of Engineering Mechanics, 2004, 130(4): 459–465

[27]

Alavinasab A, Moharrami H, Khajepour A. Active control of structures using energy-based LQR method. Comput-Aided Civ Inf, 2006, 21(8): 605–611

[28]

Aldemir U. A simple active control algorithm for earthquake excited structures. Comput-Aided Civ Inf, 2010, 25(3): 218–225

[29]

Rajabioun R. Cuckoo optimization algorithm. Applied Soft Computing, 2011, 11(8): 5508–5518

[30]

Gandomi A H, Talatahari S, Yang X S, Deb S. Design optimization of truss structures using cuckoo search algorithm. Struct Des Tall Spec, 2013, 22(17): 1330–1349

[31]

Civicioglu P, Besdok E A. Conception comparison of the cuckoo search, particle swarm optimization, differential evolution and artificial bee colony algorithms. Artificial Intelligence Review, 2013, 39(4): 315–346

[32]

Yang X S, Deb S. Cuckoo search: recent advances and applications. Neural Computing & Applications, 2014, 24(1): 169–174

[33]

Yang X S, Deb S. Cuckoo search via Lévy flights. The World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009, 210–214

[34]

Nagarajaiah S, Narasimhan S. Smart base-isolated benchmark building part II: phase I, sample controllers for linear and friction isolation. J Struct Control Hlth, 2006, 13(2-3): 589–604

[35]

MATLAB. The Math Works. Inc, Natick, MA, 2000

RIGHTS & PERMISSIONS

Higher Education Press and Springer-Verlag Berlin Heidelberg

AI Summary AI Mindmap
PDF (1272KB)

3956

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/