Semi-active neurocontrol of a base-isolated benchmark structure
Corresponding Author
Heon-Jae Lee
Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea
Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305-701, KoreaSearch for more papers by this authorGuangqiang Yang
Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 North Matthews Ave., Urbana, IL 61801, U.S.A.
Search for more papers by this authorHyung-Jo Jung
Department of Civil and Environmental Engineering, Sejong University, Seoul 143-747, Korea
Search for more papers by this authorBillie F. Spencer Jr.
Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 North Matthews Ave., Urbana, IL 61801, U.S.A.
Search for more papers by this authorIn-Won Lee
Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea
Search for more papers by this authorCorresponding Author
Heon-Jae Lee
Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea
Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305-701, KoreaSearch for more papers by this authorGuangqiang Yang
Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 North Matthews Ave., Urbana, IL 61801, U.S.A.
Search for more papers by this authorHyung-Jo Jung
Department of Civil and Environmental Engineering, Sejong University, Seoul 143-747, Korea
Search for more papers by this authorBillie F. Spencer Jr.
Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 North Matthews Ave., Urbana, IL 61801, U.S.A.
Search for more papers by this authorIn-Won Lee
Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea
Search for more papers by this authorAbstract
In this paper, a new semi-active control strategy for seismic response reduction using a neurocontroller and MR dampers is proposed. The proposed control system adopts a training algorithm based on a cost function and sensitivity evaluation algorithm to calculate the desired control force. A clipped algorithm is then employed to induce the MR damper to generate approximately the desired control force by selecting appropriate command voltage. The proposed semi-active neurocontroller was applied to a benchmark building installed with linear elastomeric isolation system. Comparing with passive and sample controller, numerical simulation results have shown that the proposed scheme can significantly reduce the floor acceleration, base shear and building corner drift with a slight increase of base displacement. Copyright © 2005 John Wiley & Sons, Ltd.
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