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Modal‐based LQG for smart base isolation system design in seismic response control
Author(s) -
Wang Yumei,
Dyke Shirley
Publication year - 2013
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.1490
Subject(s) - base isolation , linear quadratic gaussian control , modal , magnetorheological fluid , engineering , benchmark (surveying) , isolation (microbiology) , weighting , damper , control theory (sociology) , base (topology) , controller (irrigation) , control engineering , control (management) , computer science , mathematics , artificial intelligence , mechanical engineering , biology , frame (networking) , polymer chemistry , microbiology and biotechnology , mathematical analysis , chemistry , geodesy , agronomy , radiology , medicine , geography
This study presents a smart system design to enhance the seismic performance of base‐isolated buildings using modal LQG control strategies and smart devices, magnetorheological dampers. The advantages of applying the modal LQG approach for base isolation are discussed, including the explicit physical interpretation, simple weighting selection, and easy controller order reduction. 2DOF base isolation systems and the well‐known, community‐driven, benchmark base isolation problem focusing on structural control are employed to demonstrate the technique as realistic examples. This study analyzes the underlying interaction between structural dynamic properties and control forces that makes the modal approach effective and smart base isolation control possible and shows the seismic performance gain of the benchmark base isolation system offered by the proposed approach. Copyright © 2012 John Wiley & Sons, Ltd.