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Intelligent Control of Structural Vibration Using Active Mass Damper

  • 김동현 (한국과학기술원 토목공학과) ;
  • 오주원 (한남대학교 토목환경공학과) ;
  • 이인원 (한국과학기술원 토목공학과)
  • 발행 : 2000.06.22

초록

Optimal neuro-control algorithm is extended to the control of a multi-degree-of-freedom structure. An active mass driver(AMD) system on the top roof is used as an exciter. The control signals are made by a multi-layer perceptron(MLP) which is trained by minimizing a sub-optimal performance index. The performance index is a function of both the output responses and the control signals. Structure having nonlinear hysteretic behavior is also trained and controlled by using proposed control algorithm. In training neuro-controller, emulator neural network is not used. Instead, sensitivity-test data are used. Therefore, only one neural network is used for the control system. Both the time delay effect and the dynamics of hydraulic actuator are included in the simulation. Example shows that optimal neuro-control algorithm can be applicable to the multi-degree of freedom structures.

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