Research and Application on Nonlinear Control Algorithms Based on Viscous Dampers

Article Preview

Abstract:

One challenge in the use of semi-active technology is in developing nonlinear control algorithms that are appropriate for implementation in full-scale structures. Based on the basic characteristics of magnetorheological (MR) damper, the structural control algorithms are introduced. The nonlinear control algorithms are systematically reviewed from the aspects including clipped optimal control, LQR control, and Lyapunov stability control. Finally, the existed problem in application and the future developing in research on the structural control algorithms are summarized respectively.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1500-1503

Citation:

Online since:

January 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Widjaja J, Samali B, Li J C. Electrorheological and magnetorheological duct flow in shear-flow mode using Herschel-Bulkley constitutive model [J]. Journal of Engineering Mechanics-ASCE, 2003, 129(12): 1459—1465.

DOI: 10.1061/(asce)0733-9399(2003)129:12(1459)

Google Scholar

[2] Hou G, Zhang P. Investigation of the dynamic mechanical behavior of the double-barreled configuration in a magnetorheological fluid damper [J]. Journal of Smart Materials and Structures, 2002, 11(2): 230—238.

DOI: 10.1088/0964-1726/11/2/306

Google Scholar

[3] Lindler J, Wereley N. Quasi-steady Bingham plastic analysis of an electrorheological flow mode bypass damper with piston bleed [J]. Journal of Smart Materials and Structures, 2003, 12(3): 305—317.

DOI: 10.1088/0964-1726/12/3/301

Google Scholar

[4] Mei G, et al. Model Predictive Control of Structures under Earthquakes using Acceleration Feedback [J]. Journal of Engineering Mechanics, 2002, 5: 574-585.

DOI: 10.1061/(asce)0733-9399(2002)128:5(574)

Google Scholar

[5] Wang D. H., Liao W. H. Modeling and control of magnetorheological fluid dampers using neural networks [J]. Smart Materials and Structures, (14): 111-126, (2005).

DOI: 10.1088/0964-1726/14/1/011

Google Scholar

[6] Ulicny J, Balogh M, Potter N, et al. Magnetorheological fluid durability test-Iron analysis [J]. Journal of Materials Science and Engineering, 443(2): 16—24, (2007).

DOI: 10.1016/j.msea.2006.06.050

Google Scholar