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Semi‐active neurocontrol of a base‐isolated benchmark structure
Author(s) -
Lee HeonJae,
Yang Guangqiang,
Jung HyungJo,
Spencer Billie F.,
Lee InWon
Publication year - 2006
Publication title -
structural control and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.587
H-Index - 62
eISSN - 1545-2263
pISSN - 1545-2255
DOI - 10.1002/stc.105
Subject(s) - benchmark (surveying) , control theory (sociology) , damper , controller (irrigation) , acceleration , engineering , sensitivity (control systems) , base (topology) , displacement (psychology) , computer science , structural engineering , control (management) , mathematics , artificial intelligence , mathematical analysis , geodesy , psychology , agronomy , physics , classical mechanics , electronic engineering , psychotherapist , biology , geography
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.