Proceedings of the Earthquake Engineering Society of Korea Conference (한국지진공학회:학술대회논문집)
- 2005.03a
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- Pages.469-476
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- 2005
Design of Fuzzy Controller using Genetic Algorithm with a Local Improvement Mechanism
부분개선 유전자알고리즘을 이용한 퍼지제어기의 설계
- Kim, Hyun-Su ;
- Paul N., Roschke (Department of civil engineering, Texas A&M University) ;
- Lee, Dong-Guen
- Published : 2005.03.18
Abstract
To date, many viable smart base isolation systems have been proposed. In this study, a novel friction pendulum system (FPS) and an MR damper are employed as the isolator and supplemental damping device, respectively. A fuzzy logic controller (FLC) is used to modulate the MR damper. A genetic algorithm (GA) is used for optimization of the FLC. The main purpose of employing a GA is to determine appropriate fuzzy control rules as well to adjust parameters of the membership functions. To this end, a GA with a local improvement mechanism is applied. Neuro-fuzzy models are used to represent dynamic behavior of the MR damper and FPS. Effectiveness of the proposed method for optimal design of the FLC is judged based on computed responses to several historical earthquakes. It has been shown that the proposed method can find appropriate fuzzy rules and the GA-optimized FLC outperforms not only a passive control strategy but also a human-designed FLC and a conventional semi-active control algorithm.
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