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A platform for research: civil engineering, architecture and urbanism
Grey forecasting model for active vibration control systems
Based on the grey theory, a GM(1,1) forecasting model and an optimal GM(1,1) forecasting model are developed and assessed for use in active vibration control systems for earthquake response mitigation. After deriving equations for forecasting the control state vector, design procedures for an optimal active control method are proposed. Features of the resulting vibration control and the influence on it of time-delay based on different sampling intervals of seismic ground motion are analysed. The numerical results show that the forecasting models based on the grey theory are reliable and practical in structural vibration control fields. Compared with the grey forecasting model, the optimal forecasting model is more efficient in reducing the influences of time-delay and disturbance errors.
Grey forecasting model for active vibration control systems
Based on the grey theory, a GM(1,1) forecasting model and an optimal GM(1,1) forecasting model are developed and assessed for use in active vibration control systems for earthquake response mitigation. After deriving equations for forecasting the control state vector, design procedures for an optimal active control method are proposed. Features of the resulting vibration control and the influence on it of time-delay based on different sampling intervals of seismic ground motion are analysed. The numerical results show that the forecasting models based on the grey theory are reliable and practical in structural vibration control fields. Compared with the grey forecasting model, the optimal forecasting model is more efficient in reducing the influences of time-delay and disturbance errors.
Grey forecasting model for active vibration control systems
Grey-Vorhersagemodell für aktive Schwingungsregelungsmodelle
Zou, Lihua (author) / Dai, Suliang (author) / Butterworth, John (author) / Ma, Xing (author) / Dong, Bo (author) / Liu, Aiping (author)
Journal of Sound and Vibration ; 322 ; 690-706
2009
17 Seiten, 21 Bilder, 5 Tabellen, 16 Quellen
Article (Journal)
English
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