| Project/Area Number |
16K06159
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Dynamics/Control
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| Research Institution | The University of Tokushima |
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Principal Investigator |
HINO Junichi 徳島大学, 大学院社会産業理工学研究部(理工学域), 教授 (10173189)
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2018: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2017: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | モード解析 / 伝達経路解析 / 加振力推定 / 時間領域推定 / 非定常入力 / 機械力学・制御 / 振動解析・試験 / 加振力同定 |
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| Outline of Final Research Achievements |
In order to suppress vibrations of the machine, it is important to estimate the excitation force acting on the mechanical system in the operating condition. The estimation of excitation forces was performed in the time domain via solving the inverse problem to consider the transient characteristics of the excitation force. As an example, we dealt with the estimation problem of impulse force. The Hankel matrix was derived from modal parameters of the system and a procedure was developed to solve the inverse problem directly using Tikhonov regularization, which integrated singular value decomposition and L-curve method. Furthermore, we also developed an indirect procedure by applying the augmented Kalman filter that integrates the input force into the state quantities. Then, the mathematical model of the vibration system was derived by the subspace identification and the mass change method to obtain the dynamics of the system from the vibration data in operating condition.
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| Academic Significance and Societal Importance of the Research Achievements |
従来行われていた周波数領域の加振力推定に比べ，過渡的な加振力の推定を行うことができる．過渡振動の原因となる非定常加振力の推定を行うことができると，加振力の時間的変動を把握することができ推定精度が向上するだけでなく，機械の故障診断などの突発的な振動特性の変化を検知することが可能になる．このことは，設計時の振動対策に加えて，実稼働中の機械の健康状態を監視することできる．また，付随して行っていた質量変更法による正規化モードの導出については，実稼働状態での振動データのみから有意な振動特性を抽出することが可能となるため，動特性改善のための実験の効率を大きく改善できる．
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