Neural oscillator network extracting dominant frequency from earthquake-induced acceleration responses of structure

摘要：

　　This paper shows a neural oscillator network extracting instantaneous dominant frequencies from earthquake-induced acceleration responses of a structure.A new control system for active mass dampers consisting of a neural oscillator and position controller was proposed.However,the proposed system having the single neural oscillator has not adapted successfully to parameter changes of the structure.On the other hand,recent studies in biology have demonstrated that multiple oscillators have hierarchical network structures to ensure adaptation to environmental changes.Thus,this paper shows a neural oscillator network synchronized with earthquake-induced acceleration responses of structure to improve the robust performance of the proposed system.Evaluation of tracking performance of eigenfrequency changes reveal the property of the proposed neural oscillator network.The results showed that the proposed system had better synchronization characteristics than a single neural oscillator.

关键词： Structural vibration control Neural oscillator Active mass damper Neural oscillator network Robust system

作者: Hideya TOKUMURA Daisuke Iba Jyunichi HONGU Ichiro MORIWAKI

作者单位: Kyoto Institute of Technology Tottori University

会议类型: 国际会议

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

会议地点: 青岛

会议语种:英文

页码: 371-380

在线出版日期: 2018-07-22（万方平台首次上网日期，不代表论文的发表时间）