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A platform for research: civil engineering, architecture and urbanism
Fuzzy Control of Base‐Isolation System Using Multi‐Objective Genetic Algorithm
Abstract: In this study, a friction pendulum system (FPS) and a magnetorheological (MR) damper are employed as the isolator and supplemental damping device, respectively, of a smart base‐isolation system. Neuro‐fuzzy models are used to represent dynamic behavior of the MR damper and FPS. A fuzzy logic controller (FLC) is used to modulate the MR damper so as to minimize structural acceleration while maintaining acceptable base displacement levels. To this end, a multi‐objective optimization scheme that uses a nondominated multi‐objective genetic algorithm (NSGA‐II) is used to optimize parameters of membership functions and find appropriate fuzzy rules. To demonstrate the effectiveness of the proposed multi‐objective genetic algorithm for FLC, a numerical study of a smart base‐isolation system is conducted using several historical earthquakes. It is shown that the proposed method can find optimal fuzzy rules and that the NSGA‐II‐optimized FLC outperforms not only a passive control strategy but also a human‐designed FLC and a conventional semiactive control algorithm.
Fuzzy Control of Base‐Isolation System Using Multi‐Objective Genetic Algorithm
Abstract: In this study, a friction pendulum system (FPS) and a magnetorheological (MR) damper are employed as the isolator and supplemental damping device, respectively, of a smart base‐isolation system. Neuro‐fuzzy models are used to represent dynamic behavior of the MR damper and FPS. A fuzzy logic controller (FLC) is used to modulate the MR damper so as to minimize structural acceleration while maintaining acceptable base displacement levels. To this end, a multi‐objective optimization scheme that uses a nondominated multi‐objective genetic algorithm (NSGA‐II) is used to optimize parameters of membership functions and find appropriate fuzzy rules. To demonstrate the effectiveness of the proposed multi‐objective genetic algorithm for FLC, a numerical study of a smart base‐isolation system is conducted using several historical earthquakes. It is shown that the proposed method can find optimal fuzzy rules and that the NSGA‐II‐optimized FLC outperforms not only a passive control strategy but also a human‐designed FLC and a conventional semiactive control algorithm.
Fuzzy Control of Base‐Isolation System Using Multi‐Objective Genetic Algorithm
Kim, Hyun‐Su (author) / Roschke, Paul N. (author)
Computer‐Aided Civil and Infrastructure Engineering ; 21 ; 436-449
2006-08-01
14 pages
Article (Journal)
Electronic Resource
English
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