DocumentCode
2849509
Title
Structural Vibration Intelligent Control Based on Magnetorheological Damper
Author
Liu, Jianjun ; Xia, Kaiquan ; Zhu, Caixia
Author_Institution
Div. of Eng. Mech., China Electr. Power Res. Inst., Beijing, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
Structural intelligent control system (SICS) is the advanced field of seismic engineering discipline. Due to the inherent nonlinear nature and uncertainty of the semi-active control system based on magnetorheological (MR) fluid damper, an improved back-propagation (BP) algorithm is proposed, which divides the actual structure model into a mechanism model part and a timevarying error model part. By means of off-line training and on-line modifying, the intelligent control system based on the improved BP algorithm are acquired. It can be used to predict the damping force of MR damper and eliminate the influence of time delay. Theoretical analysis and numerical simulations show that the intelligent control system can efficiently reduce the structure responses induced by earthquake, has good performance in adaptively tracking target and displays resistance to disturbances.
Keywords
backpropagation; earthquake engineering; intelligent control; magnetorheology; shock absorbers; structural engineering; vibration control; MR damper; back-propagation algorithm; earthquake; magnetorheological damper; magnetorheological fluid damper; off-line training; online modifying; seismic engineering discipline; semi-active control system; structural intelligent control system; structural vibration intelligent control; structure responses; target tracking target; time delay; timevarying error model; Control system synthesis; Damping; Delay effects; Error correction; Intelligent control; Nonlinear control systems; Shock absorbers; Silicon carbide; Uncertainty; Vibration control;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5365292
Filename
5365292
Link To Document