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Evolutionary fuzzy logic control of base‐isolated structures in response to earthquake activity
Author(s) -
Dounis A. I.,
Tiropanis P.,
Syrcos G. P.,
Tseles D.
Publication year - 2007
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.83
Subject(s) - fuzzy logic , control theory (sociology) , controller (irrigation) , base (topology) , fuzzy control system , damper , computer science , control engineering , engineering , control (management) , mathematics , artificial intelligence , mathematical analysis , biology , agronomy
This paper presents a design procedure of an evolutionary fuzzy logic controller (EFLC) for a class of base‐isolated structures subjected to seismic activity with the goal to reduce the absolute motion of the base. The structure is controlled through a single force applied from a controllable MR damper placed on the first storey of the structure. The restraining control force is computed in real time, using an evolutionary fuzzy logic controller. The evolutionary fuzzy controller possesses the parameters of membership functions whose optimum values are computed using genetic algorithms (GA). The resultant disturbance mitigation of the proposed controller has been verified through extensive simulation of a six‐storey structure, using disparate earthquake ground motions. Three main advantages of the evolutionary fuzzy logic controller can be summarized as follows. First, external disturbances can be considered in the EFLC, second, the proposed EFLC can control a structure with unknown dynamics, and third, the EFLC can easily be applied to semi‐active structural control. Copyright © 2005 John Wiley & Sons, Ltd.