会议专题

Development of spatio-temporal filter adjustment technique used in phase-compensated velocity feedback to active control of floor vibration under impact excitation

  Active vibration control(AVC)has shown great potential for reducing the vibration of floor structures induced by human activities.In the real world AVC application,it is expected to establish a simple and robust active control strategy without requiring an extensive and accurate system modelling process,which often requires extensive efforts in the development of efficient AVC systems.In this study,a non-adaptive spatio-temporal filtering technique combined with the phase-compensated velocity feedback controller to active control the vibration of human-induced impact loadings requiring minimum information of both the actuator and floor system is developed.In the proposed AVC framework,white noise input signal is provided to the actuator to obtain the measurement of the floor and actuator mass responses,and the spatio-temporal filtering coefficients implemented in the controller are determined by combining ERA method,Nigam Jennings method and Least Squares method in the preliminary adjustment of the controller,without necessity of explicit modelling parameters.Verification experiments using a steel plate and the developed control system are conducted to investigate the effectiveness of this method to control the floor vibration under impact loading.The results show a superior applicability of the proposed method,and that the control performance is not severely affected by the difference in sensor placements.

Active Control Spatio-temporal Filtering Phase-compensated Velocity Feedback Control Floor Vibration Suppression

K.Xue A.Igarashi T.Kachi

Department of Urban Management,Kyoto University,Kyoto,Japan Disaster Prevention Research Institute,Kyoto University,Kyoto,Japan Sumitomo Riko Co.Ltd.,Aichi,Japan

国际会议

The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)

青岛

英文

412-423

2018-07-22(万方平台首次上网日期,不代表论文的发表时间)