한국지진공학회논문집 (Journal of the Earthquake Engineering Society of Korea)

  • 제9권4호
  • /
  • Pages.55-66
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  • 2005
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  • 1226-525X(pISSN)
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  • 2234-1099(eISSN)
한국지진공학회 (Earthquake Engineering Society of Korea)
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퍼지관리제어기법을 이용한 스마트 면진 벤치마크 건물의 제어

Control of Smart Base-isolated Benchmark Building using Fuzzy Supervisory Control

  • 김현수 (성균관대학교 건축공학과) ;
  • 발행 : 2005.08.01
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⟨ 이전 논문 다음 논문 ⟩

초록

본 논문에서는 스마트 면진장치를 효과적으로 제어하기 위하여 퍼지관리제어기를 개발하였고 그 효율성을 검토하였다. 이를 위하여 1세대 스마트 면진 벤치마크 건물을 이용하여 수치해석을 수행하였다. 대상 벤치마크 구조물은 부정형의 평면을 가지고 있는 8층 건물이고 탄성베어링과 MR 감쇠기로 이루어진 스마트 면진장치가 설치되어 있다. 본 논문에서는 다목적 유전자 알고리즘을 이용하여 원거리 지진과 근거리 지진에 대하여 각각 면진구조물을 효과적으로 제어할 수 있는 하위 퍼지제어기를 개발한다. 최적화과정에서는 구조물의 최대 및 RMS 가속도와 면진층 변위의 저감이 목적으로 사용된다. 벤지마크 건물에 지진하중이 가해지면 두 개의 하위 퍼지제어기에서는 각각 다른 명령전압이 제공되는데 이 명령전압들은 퍼지관리제어기의 추론과정에 기반하여 실시간으로 참여율이 조절되어 하나의 명령전압으로 조합된다. 수치해석을 통하여 제안된 퍼지관리제어기법을 사용함으로써 상부구조물의 응답과 면진층의 변위를 효과적으로 줄일 수 있음을 확인할 수 있다.

The effectiveness of fuzzy supervisory control technique for the control of seismic responses of smart base isolation system is investigated in this study. To this end, first generation base isolated building benchmark problem is employed for the numerical simulation. The benchmark structure under consideration is an eight-story base isolated building having irregular plan and is equipped with low-damping elastometric bearings and magnetorheological (MR) dampers for seismic protection. Lower level fuzzy logic controllers (FLC) for far-fault or near-fault earthquakes are developed in order to effectively control base isolated building using multi-objective genetic algorithm. Four objectives, i.e. reduction of peak structural acceleration, peak base drift, RMS structural acceleration and RMS base drift, are used in multi-objective optimization process. When earthquakes are applied to benchmark building, each of low level FLCs provides different command voltage and supervisory fuzzy controller combines two command voltages io one based on fuzzy inference system in real time. Results from the numerical simulations demonstrate that base drift as well as superstructure responses can be effectively reduced using the proposed supervisory fuzzy control technique.

키워드

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