Semi-active control of structures using neuro-predictive algorithm for MR dampers

Structural Control and Health Monitoring

Volumn 17, Issue 3, 2010, Pages 237-253

  K Karamodin, A ^a   H Kazemi, H ^a  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

MR damper; Neural network; Nonlinear; Predictive control; Semi active; Structural control

Indexed keywords

BENCHMARK BUILDING; CONTROL FORCE; CONTROL VOLTAGES; HISTORICAL EARTHQUAKES; LINEAR QUADRATIC GAUSSIAN CONTROLLERS; LQG CONTROLLER; MAGNETO-RHEOLOGICAL DAMPERS; MR DAMPER; MR DAMPERS; NOMINAL CONTROLLER; NONLINEAR BENCHMARK; NONLINEAR PREDICTIVE CONTROL; OPTIMAL CONTROL FORCES; OPTIMAL CONTROLS; PASSIVE SYSTEMS; PREDICTIVE ALGORITHMS; PREDICTIVE CONTROL ALGORITHM; RANGE OF MOTIONS; SEISMIC EVENT; SEMI-ACTIVE; SEMIACTIVE CONTROL; SIMULATED RESPONSE;

ALGORITHMS; CONTROL SYSTEM ANALYSIS; DAMPING; NEURAL NETWORKS; PREDICTIVE CONTROL SYSTEMS; SEISMOLOGY; STRUCTURAL DYNAMICS;

CONTROLLERS;

EID: 77949852916     PISSN: 15452255     EISSN: 15452263     Source Type: Journal    
DOI: 10.1002/stc.278     Document Type: Article

References (28)

1. Casciati F, Magonette G, Marazzi F. Technology of Semi-Active Devices and Application in Vibration Mitigation. Wiley: New York, 2006.
2. Sack RL, Kuo CC, Wu HC, Liu L, Patten WN. Seismic motion control via semi-active hydraulic actuators. Proceedings of the U.S. 5th Naional Conference on Earthquake Engineering, vol.2, Oakland, CA, 1994; 311-320.
3. Sack RL, Patten W. Semi-active hydraulic structural control. Proceedings of the International Workshop on Structural Control, Los Angeles, CA, 1994; 417-431.
4. Dyke SJ, Spencer Jr BF, Sain MK, Carlson JD. Seismic response reduction using magnetorheological dampers. Proceedings of the IFAC World Congress, 1996; 145-150.
5. Dyke SJ, Spencer Jr BF, Sain MK, Carlson JD. Modeling and control of magnetorheological dampers for seismic response reduction. Smart Materials and Structures 1996; 5:565-575.
6. Yoshida1 O, Dyke S. Seismic control of a nonlinear benchmark building using smart dampers. Journal of Engineering Mechanics (ASCE) 2004; 130(4):386-392.
7. Lee HJ, Yang YG, Jung HJ, Spencer BF, Lee IW. Semi-active neurocontrol of a base isolated benchmark structure. Structural Control and Health Monitoring, 2006; 13:682-692.
8. Bani-Hani KA, Mashal A, Sheban MA. Semi-active neuro-control for base-isolation system using magnetorheological (MR) dampers. Earthquake Engineering & Structural Dynamics 2006; 35:1119-1144.
9. Jung HJ, Lee HJ, Yoon WH, Oh JW, Lee IW. Semiactive neurocontrol for seismic response reduction using smart damping strategy. Journal of Computing in Civil Engineering 2004; 18(3):277-280.
10. Choi K-M, Cho S-W, Jung H-J, Lee I-W. Semi-active fuzzy control for seismic response reduction using magnetorheological dampers. Earthquake Engineering & Structural Dynamics 2004; 33:723-736.
11. Bhardwaj MK, Datta TK. Semiactive fuzzy control of the seismic response of building frames. Journal of Structural Engineering 2006; 132(5):791-799.
12. Kim H-S, Roschke PN. GA-fuzzy control of smart base isolated benchmark building using supervisory control technique. Advances in Engineering Software 2007; 38:453-465.
13. Qin SJ, Badgwell TJ. An overview of industrial model predictive control technology. Chemical Process Control-V Proceedings of AIChE Symposium Series 316 1996; 93:232-256.
14. Camacho EF, Bordons C. Model Predictive Control. Springer: London, 1999.
15. Rodellar J, Barbat AH, Marin Sanchez JM. Predictive control of structures. Journal of Engineering Mechanics 1987; 113(6):797-812.
16. Lopez-Almansa F, Andrade R, Rodellar J, Reinhorn AM. Modal predictive control of structures. I: formulation. Journal of Engineering Mechanics 1994; 120(8):1743-1760.
17. Lopez-Almansa F, Andrade R, Rodellar J, Reinhorn AM. Modal predictive control of structures. II: implemenation. Journal of Engineering Mechanics 1994; 120(8):1761-1772.
18. Mei G, Kareem A, Kantor JC. Real-time model predictive control of structures under earthquakes. Earthquake Engineering & Structural Dynamics 2001; 30:995-1019.
19. Mei G, Kareem A, Kantor JC. Model predictive control of structures under earthquakes using acceleration feedback. Journal of Engineering Mechanics 2002; 128(5):574-585.
20. Chang C-C, Zhou L. Neural network emulation of inverse dynamics for a magnetorheological damper. Journal of Structural Engineering 2002; 128(2):231-239.
21. K-karamodin A, H-kazemi H, Rowhanimanesh A, Akbarzadeh-T M-R. Semi-active control of structures using neuro-inverse model of MR dampers. ISFS2007, First Joint Congress on Intelligent and Fuzzy Systems, Ferdowsi University, Mashhad, Iran, Accepted.
22. Ohtori Y, Christenson RE, Spencer Jr BF, Dyke SJ. Benchmark control problems for seismically excited nonlinear buildings. Journal of Engineering Mechanics 2004; 130(4):366-387.
23. Dyke SJ, Yi F, Carlson JD. Application of magnetorheological dampers to seismically excited structures. Proceedings of the International Modal Analysis Conference, Bethel, CT, 1999.
24. Yi F, Dyke SJ, Caicedo JM, Carlson JD. Seismic response control using smart dampers. Proceedings of American Control Conference, Washington, DC, 1999; 1022-1026.
25. Yi F, Dyke SJ, Frech S, Carlson JD. Investigation of magnetorheological dampers for earthquake hazard mitigation. Proceedings of the 2nd World Conference on Structural Control, West Sussex, U.K., 1998; 349-358.
26. Spencer Jr BF, Dyke SJ, Sain MK, Carlson JD. Phenomenological model of magnetorheological damper. Journal of Engineering Mechanics ASCE 1997; 123(3):230-238.
27. Hertz J, Krogh A, Palmer RG. Introduction to the Theory of Neural Computation. Addison-Wesley Publishing Company: Boston, MA, 1993.
28. The Math Works Inc. MATLAB 7.0, Natick, MA, 2006.