Application of PSO Technique for Seismic Control of Tall Building
In recent years, tuned mass damper (TMD) control systems for civil engineering structures have attracted considerable attention. This paper emphasizes on the application of particle swarm application (PSO) to design and optimize the parameters of the TMD control scheme for achieving the best results in the reduction of the building response under earthquake excitations. The Integral of the Time multiplied Absolute value of the Error (ITAE) based on relative displacement of all floors in the building is taken as a performance index of the optimization criterion. The problem of robustly TMD controller design is formatted as an optimization problem based on the ITAE performance index to be solved using the PSO technique which has a story ability to find the most optimistic results. An 11- story realistic building, located in the city of Rasht, Iran is considered as a test system to demonstrate effectiveness of the proposed method. The results analysis through the time-domain simulation and some performance indices reveals that the designed PSO based TMD controller has an excellent capability in reduction of the seismically excited example building.
[1] T.K. Datta, Control of dynamic response of structures. Proc. of The
Indo-US Symposium on Emerging Trends in Vibration and Noise
Engineering, 1996, pp.18-20.
[2] R. Randa, T.T. Soong, Parametric study and simplified design of mass
dampers. Engineering Structures, Vol. 20, No. 3, 1998, pp. 193 -204.
[3] M. Aldawod, B. Samali, F. Naghady, CS. Kwok Kenny, Active control
of along wind response of tall building using a fuzzy controller,
Engineering Structures, Vol. 23, 2001, pp. 1512 - 1522.
[4] TT. Soong, R. Hanson, Recent developments in active and hybrid
control research in US. Proc. of the Int. Workshop on Structural Control,
1993, pp.483-490
[5] S. Sarbjeet, TK. Datt, Open closed loop linear control of building
frames under seismic excitation, Journal of Structure Engineering,
ASCE, Vol. 124, No. 1, 1998, pp. 43-51.
[6] W. M. Jenkins, Towards structural optimization via the genetic
algorithm, Engineering Structures, Vol. 19, No. 4, 1997, pp. 302-308.
[7] A. Kareem, S. Kline, Performance of multiple tuned mass dampers
under random loading, Journal of Structure Engineering, ASCE, Vol.
121, No. 2, 1995, pp. 348-361.
[8] F. Sadek, B. Mohraj, A.W. Taylor, R.M. Chung, A method of
estimating the parameters of tuned mass dampers for seismic
application. Earthquake Engineering and Structure Dynamics, Vol. 26,
1997, pp. 617-635.
[9] J.N. Yang, Recent advances in active control of civil engineering
structures. Probab. Engineering Mechanics, Vol. 3, No. 4, 1988.
[10] B. Samali, M. Al-Dawod, Performance of a five-storey benchmark
model using an active tuned mass damper and a fuzzy controller. Int.
Journal of Structure Engineering, Vol. 25, 2003, pp. 1597-1610.
[11] QP. Ha, Active structural control using dynamic out put feed back
sliding mode. Proc. of the 2001 Australian Conference on Robotics and
Automation, Sydney, 2001, pp. 14-15.
[12] MD. Symans, W. Kelly, Fuzzy logic control of bridge structures using
intelligent semi-active seismic isolation systems, Earthquake
Engineering and Structure Dynamics, Vol. 28, 1999, pp. 37-60.
[13] S. Sarbjeet, TK. Datta, Nonlinear sliding mode control of seismic
response of building frames, Journal of Engineering Mechanics, ASCE,
Vol. 126, No. 6, 2000, pp. 340-347.
[14] M.N. Hadi, Y. Arfiadi, Optimum design of absorber for MDOF
structure, Journal of Structure Engineering,, Vol. 124, No. 11, 1999, pp.
1272-1279.
[15] S. Pourzeynali, H.H. Lavasani, A.H. Modarayi, Active control of high
rise building structures using fuzzy logic and genetic, Journal of
Structure Engineering, Vol. 29, 2007, pp. 346-357.
[16] M.N. Hadi, Y.Arfiadi, Optimum direct (static) output feedback
controller using real coded genetic algorithm, Computer and Structures,
Vol. 79, 2001, pp. 1625-34.
[17] H. Shayeghi, A. Jalili, H. A. Shayanfar, Multi-stage fuzzy load
frequency control using PSO, Energy Conversion and Management,
Vol. 49, 2008, pp. 2570-80.
[18] J. Kennedy, R. Eberhart, Y. Shi, Swarm intelligence, Morgan
Kaufmann Publishers, San Francisco, 2001.
[19] M. Clerc, J. Kennedy, The particle swarm-explosion, stability, and
convergence in a multidimensional complex space, IEEE Trans.
Evolutionary Computation, 2002, 6 (1): 58-73.
[20] S. H. Zahiria, S. A. Seyedin, Swarm intelligence based classifiers, J.
Franklin Institute, 2007, 344: 362-76.
[21] R.W. Clough, J. Penzien, Dynamics of structures, 2nd ed. Mc Graw-
Hill; New York: 1993.
[22] K. Kanai, An empirical formula for the spectrum of strong earthquake
motions, Bulletin Earthquake Research Institute, University of Tokyo,
1961, 39: 85-95.
[23] www.mathworks.com, MATLAB software, 2009.
[24] H. Shayeghi, H. Eimani, H.A. Shayanfar, A. Shayeghi, PSO based
TMD design for vibration control of tall building structures , Proc. of the
Int. Conf. on Artificial Intelligence (ICAI 09), Las Vegas, U.S.A., 2009.
[1] T.K. Datta, Control of dynamic response of structures. Proc. of The
Indo-US Symposium on Emerging Trends in Vibration and Noise
Engineering, 1996, pp.18-20.
[2] R. Randa, T.T. Soong, Parametric study and simplified design of mass
dampers. Engineering Structures, Vol. 20, No. 3, 1998, pp. 193 -204.
[3] M. Aldawod, B. Samali, F. Naghady, CS. Kwok Kenny, Active control
of along wind response of tall building using a fuzzy controller,
Engineering Structures, Vol. 23, 2001, pp. 1512 - 1522.
[4] TT. Soong, R. Hanson, Recent developments in active and hybrid
control research in US. Proc. of the Int. Workshop on Structural Control,
1993, pp.483-490
[5] S. Sarbjeet, TK. Datt, Open closed loop linear control of building
frames under seismic excitation, Journal of Structure Engineering,
ASCE, Vol. 124, No. 1, 1998, pp. 43-51.
[6] W. M. Jenkins, Towards structural optimization via the genetic
algorithm, Engineering Structures, Vol. 19, No. 4, 1997, pp. 302-308.
[7] A. Kareem, S. Kline, Performance of multiple tuned mass dampers
under random loading, Journal of Structure Engineering, ASCE, Vol.
121, No. 2, 1995, pp. 348-361.
[8] F. Sadek, B. Mohraj, A.W. Taylor, R.M. Chung, A method of
estimating the parameters of tuned mass dampers for seismic
application. Earthquake Engineering and Structure Dynamics, Vol. 26,
1997, pp. 617-635.
[9] J.N. Yang, Recent advances in active control of civil engineering
structures. Probab. Engineering Mechanics, Vol. 3, No. 4, 1988.
[10] B. Samali, M. Al-Dawod, Performance of a five-storey benchmark
model using an active tuned mass damper and a fuzzy controller. Int.
Journal of Structure Engineering, Vol. 25, 2003, pp. 1597-1610.
[11] QP. Ha, Active structural control using dynamic out put feed back
sliding mode. Proc. of the 2001 Australian Conference on Robotics and
Automation, Sydney, 2001, pp. 14-15.
[12] MD. Symans, W. Kelly, Fuzzy logic control of bridge structures using
intelligent semi-active seismic isolation systems, Earthquake
Engineering and Structure Dynamics, Vol. 28, 1999, pp. 37-60.
[13] S. Sarbjeet, TK. Datta, Nonlinear sliding mode control of seismic
response of building frames, Journal of Engineering Mechanics, ASCE,
Vol. 126, No. 6, 2000, pp. 340-347.
[14] M.N. Hadi, Y. Arfiadi, Optimum design of absorber for MDOF
structure, Journal of Structure Engineering,, Vol. 124, No. 11, 1999, pp.
1272-1279.
[15] S. Pourzeynali, H.H. Lavasani, A.H. Modarayi, Active control of high
rise building structures using fuzzy logic and genetic, Journal of
Structure Engineering, Vol. 29, 2007, pp. 346-357.
[16] M.N. Hadi, Y.Arfiadi, Optimum direct (static) output feedback
controller using real coded genetic algorithm, Computer and Structures,
Vol. 79, 2001, pp. 1625-34.
[17] H. Shayeghi, A. Jalili, H. A. Shayanfar, Multi-stage fuzzy load
frequency control using PSO, Energy Conversion and Management,
Vol. 49, 2008, pp. 2570-80.
[18] J. Kennedy, R. Eberhart, Y. Shi, Swarm intelligence, Morgan
Kaufmann Publishers, San Francisco, 2001.
[19] M. Clerc, J. Kennedy, The particle swarm-explosion, stability, and
convergence in a multidimensional complex space, IEEE Trans.
Evolutionary Computation, 2002, 6 (1): 58-73.
[20] S. H. Zahiria, S. A. Seyedin, Swarm intelligence based classifiers, J.
Franklin Institute, 2007, 344: 362-76.
[21] R.W. Clough, J. Penzien, Dynamics of structures, 2nd ed. Mc Graw-
Hill; New York: 1993.
[22] K. Kanai, An empirical formula for the spectrum of strong earthquake
motions, Bulletin Earthquake Research Institute, University of Tokyo,
1961, 39: 85-95.
[23] www.mathworks.com, MATLAB software, 2009.
[24] H. Shayeghi, H. Eimani, H.A. Shayanfar, A. Shayeghi, PSO based
TMD design for vibration control of tall building structures , Proc. of the
Int. Conf. on Artificial Intelligence (ICAI 09), Las Vegas, U.S.A., 2009.
@article{"International Journal of Information, Control and Computer Sciences:51815", author = "A. Shayeghi and H. Shayeghi and H. Eimani Kalasar", title = "Application of PSO Technique for Seismic Control of Tall Building", abstract = "In recent years, tuned mass damper (TMD) control systems for civil engineering structures have attracted considerable attention. This paper emphasizes on the application of particle swarm application (PSO) to design and optimize the parameters of the TMD control scheme for achieving the best results in the reduction of the building response under earthquake excitations. The Integral of the Time multiplied Absolute value of the Error (ITAE) based on relative displacement of all floors in the building is taken as a performance index of the optimization criterion. The problem of robustly TMD controller design is formatted as an optimization problem based on the ITAE performance index to be solved using the PSO technique which has a story ability to find the most optimistic results. An 11- story realistic building, located in the city of Rasht, Iran is considered as a test system to demonstrate effectiveness of the proposed method. The results analysis through the time-domain simulation and some performance indices reveals that the designed PSO based TMD controller has an excellent capability in reduction of the seismically excited example building.
", keywords = "TMD, Particle Swarm Optimization, Tall Buildings,Structural Dynamics.", volume = "3", number = "4", pages = "941-8", }
