2021 Fiscal Year Final Research Report
High performance structural vibration control by a preview of the future seismic waveform generated with a wave transmission network and an AI-based estimation system
Project/Area Number |
19K04254
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 20010:Mechanics and mechatronics-related
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Research Institution | Niigata University |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
松岡 太一 明治大学, 理工学部, 専任教授 (80360189)
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Project Period (FY) |
2019-04-01 – 2022-03-31
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Keywords | アクティブ振動制御 / 地震観測網 / 未来波形推定 / 予見制御 / ニューラルネットワーク |
Outline of Final Research Achievements |
A new active vibration control strategy of structural systems based on the information of future seismic waveform observed in remote observation sites is proposed. A waveform transmission network transmits the observed waveform information of the remote site to the structure under control. The waveform transmission network is realized by interconnecting multiple controlled structures and observation sites. By using the remote waveform information, a preview control method is adopted as the control law. For the preview action, a future seismic waveform in some time interval is needed. An artificial-intelligence-based waveform estimation system is proposed to estimate the future seismic waveform. The core of the wave estimation system is a multi-layered artificial neural network. We show that the proposed control method achieves much higher control performance over the optimized LQ state-feedback control law through a simulation study with a recorded seismic event in Japan.
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Free Research Field |
制御工学
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Academic Significance and Societal Importance of the Research Achievements |
構造系にセンサ・アクチュエータを設置して地震による構造の振動を制御する新しい手法を提案した.強震モニタのような常時観測システムが,近い将来に地震波形情報そのものの実時間伝送も行えるようになることを想定し,震源に近い遠隔地波形情報も利用して到達地震波の未来波形をAIに基づく手法により推定することで,いわば先回りで振動制御する手法を研究した.中越地震の記録によるシミュレーションにより,提案手法は従来のフィードバック制御を大きく上回る性能を達成することを示した.これにより,現在緊急地震速報等に活用されている地震観測網の振動制御へのより高度な利用が実現され,地震を受ける構造系の安全性の向上につながる.
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