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Effectiveness of inelastic structural control based on elastic displacement and energy
Author(s) -
Wong Kevin K. F.,
Zhao Dianfeng
Publication year - 2005
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.51
Subject(s) - control theory (sociology) , structural system , moment (physics) , frame (networking) , feature (linguistics) , energy (signal processing) , displacement (psychology) , point (geometry) , control (management) , control system , optimal control , energy consumption , computer science , engineering , mathematics , structural engineering , mathematical optimization , physics , artificial intelligence , telecommunications , linguistics , philosophy , statistics , geometry , classical mechanics , electrical engineering , psychology , psychotherapist
A modified optimal linear control algorithm is proposed to demonstrate the effectiveness of the control system in reducing inelastic structural dynamic responses. This algorithm recognizes that permanent deformation in the structure due to structural yielding produces unnecessary additional feedback control forces in the control system, and thus this deformation should not be considered in the feedback control equation. Hence the unique feature of the currently proposed algorithm is that it is based on the elastic states only. Effectiveness of the proposed algorithm is then demonstrated by studying the control energy of the controlled structure. Numerical simulations using single‐degree‐of‐freedom system responses show that there always exists a point where the control energy consumption is maximal, and this optimal point is dependent on the structural characteristics as well as the earthquake excitation. Hence a preliminary guideline is developed to estimate this optimal point. Finally, application of the proposed algorithm on a six‐storey moment‐resisting frame is presented to show the effectiveness of using optimal linear control on a multi‐degree‐of‐freedom system from the control energy perspectives. Copyright © 2004 John Wiley & Sons, Ltd.