Journal of the Computational Structural Engineering Institute of Korea (한국전산구조공학회논문집)

Computational Structural Engineering Institute of Korea (한국전산구조공학회)
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Fuzzy Control of Smart TMD using Multi-Objective Genetic Algorithm

다목적 유전자알고리즘을 이용한 스마트 TMD의 퍼지제어

  • Received : 2010.07.31
  • Accepted : 2010.10.18
  • Published : 2011.02.28
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Abstract

In this study, an optimization method using multi-objective genetic algorithm(MOGA) has been proposed to develop a fuzzy control algorithm that can effectively control a smart tuned mass damper(TMD). A 76-story benchmark building subjected to wind load was selected as an example structure. The smart TMD consists of 100kN MR damper and the natural period of the smart TMD was tuned to the first mode natural period of the example structure. Damping force of MR damper is controlled to reduce the wind-induced responses of the example structure by a fuzzy logic controller. Two input variables of the fuzzy logic controller are the acceleration of 75th floor and the displacement of the smart TMD and the output variable is the command voltage sent to MR damper. Multi-objective genetic algorithm(NSGA-II) was used for optimization of the fuzzy logic controller and the acceleration of 75th story and the displacement of the smart TMD were used as objective function. After optimization, a series of fuzzy logic controllers which could appropriately reduce both wind responses of the building and smart TMD were obtained. Based on numerical results, it has been shown that the control performance of the smart TMD is much better than that of the passive TMD and it is even better than that of the sample active TMD in some cases.

본 연구에서는 스마트 TMD를 효과적으로 제어할 수 있는 퍼지제어알고리즘을 개발하기 위하여 다목적 유전자알고리즘을 이용한 최적화기법을 제안하였다. 예제구조물로는 풍하중을 받는 76층 벤치마크건물을 선택하였다. 스마트 TMD를 구성하기 위하여 100kN 용량의 MR 감쇠기를 사용하였고, 스마트 TMD의 진동주기는 예제구조물의 1차모드 고유진동주기에 맞추어 조율되었다. MR 감쇠기의 감쇠력은 예제구조물의 풍응답을 최소화할 수 있도록 퍼지제어기를 통해서 조절된다. 퍼지제어기의 입력변수는 75층의 가속도 응답과 스마트 TMD의 변위응답으로 하였고, 출력변수는 MR 감쇠기로 전달되는 명령전압으로 하였다. 퍼지제어기의 최적화를 위하여 다목적 유전자알고리즘인 NSGA-II 기법이 사용되었고, 이때 75층의 가속도 응답과 스마트 TMD의 변위응답을 목적함수로 사용하였다. 최적화 결과, 구조물의 풍응답과 STMD의 변위응답을 동시에 적절히 제어할 수 있는 다수의 퍼지제어기를 얻을 수 있었다. 수치해석을 통해서 스마트 TMD의 성능이 수동 TMD에 비하여 월등히 뛰어남을 알 수 있었고 경우에 따라서는 샘플 능동 TMD보다 더 우수한 제어성능을 발휘하였다.

Keywords

References

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