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GA-based Optimal Fuzzy Control of Semi-Active Magneto-Rheological Dampers for Seismic Performance Improvement of Adjacent Structures

인접구조물의 내진성능개선을 위한 준능동 MR감쇠기의 GA-최적퍼지제어

  • Yun, Jung-Won (Department of Architectural Engineering, Dongguk University) ;
  • Park, Kwan-Soon (Department of Architectural Engineering, Dongguk University) ;
  • Ok, Seung-Yong (Department of Safety Engineering, HanKyong National University)
  • Received : 2011.05.03
  • Accepted : 2011.08.08
  • Published : 2011.08.31

Abstract

This paper proposes a GA-based optimal fuzzy control technique for the vibration control of earthquakeexcited adjacent structures interconnected with semi-active magneto-rheological(MR) dampers. Rule-based fuzzy logic controllers are designed first by implementing heuristic knowledge and the genetic algorithm(GA) is then introduced to optimally tune the fuzzy controllers for enhancing the seismic performance of semi-active control system. For practical implementation, the fuzzy controller simply uses locally measured responses of the dampers involved and directly returns the input voltage to the magneto-rheological dampers in real time through the fuzzy inference mechanism. The local measurement based fuzzy controller provides optimal damping force in a decentralized manner so that it does not require a primary central controller unlike the conventional semi-active control techniques. As a result, it can avoid the unbridgeable discrepancy between the desired control force and the actual damper force that may occur in the conventional control approaches. The validity and effectiveness of the proposed control method are shown numerically on two 20-story earthquake-excited buildings interconnected with MR dampers.

Keywords

References

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