000010496 001__ 10496
000010496 005__ 20141205155733.0
000010496 04107 $$aeng
000010496 046__ $$k2008-10-12
000010496 100__ $$aKhaje-karamodin, Abbas
000010496 24500 $$aSemi-Active Control of Structures Using Neuro-Predictive Algorithm for MR Dampers

000010496 24630 $$n14.$$pProceedings of the 14th World Conference on Earthquake Engineering
000010496 260__ $$b
000010496 506__ $$arestricted
000010496 520__ $$2eng$$aA semi-active control method for a seismically excited nonlinear benchmark building equipped with a magnetorheological (MR) damper is presented and evaluated. A Linear Quadratic Gaussian (LQG) controller is designed to produce the optimal control force. The required voltage for the MR damper to produce the control force estimated by LQG controller is calculated by a neural network predictive control algorithm (NNPC). The LQG controller and the NNPC are linked to control the structure. The coupled LQG and NNPC system are then used to train a semi-active neuro-controller designated as SANC, which produces the necessary control voltage that actuates the MR damper. The effectiveness of the NNPC and SANC is illustrated and verified using simulated response of a 3-story full-scale, nonlinear, seismically excited, benchmark building excited by several historical earthquake records. The semi-active system using the NNPC algorithm is compared to the performance of passive as well as an active and a clipped optimal control (COC) system, which are based on the same nominal controller as is used in the NNPC algorithm. The results demonstrate that the SANC algorithm is quite effective in seismic response reduction for wide range of motions from moderate to severe seismic events, compared to the passive systems, and performs better than active and COC systems.

000010496 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000010496 653__ $$astructural Control, Predictive Control, Semi-active, Neural Network, Nonlinear, MR Damper

000010496 7112_ $$a14th World Conference on Earthquake Engineering$$cBejing (CN)$$d2008-10-12 / 2008-10-17$$gWCEE15
000010496 720__ $$aKhaje-karamodin, Abbas$$iHaji-Kazemi, Hasan$$iAkbarzadeh, Mohammad-Reza
000010496 8560_ $$ffischerc@itam.cas.cz
000010496 8564_ $$s367514$$uhttps://invenio.itam.cas.cz/record/10496/files/11-0001.pdf$$yOriginal version of the author's contribution as presented on CD, Paper ID: 11-0001.
000010496 962__ $$r9324
000010496 980__ $$aPAPER