Abstract
We report a hydraulic active mass damper (AMD) system based on the optimal control theory, combined with a Kalman filter. The study was carried out to try to improve the conventional optimal control AMD system by reduction of detected signals required, spillover prevention and reduction of the low frequency mass movement due to wind load. A design method using a Kalman filter was developed for the system. Simulations and experiments showed the advantages of the combined system. The effects of the Kalman filter design parameters and structure model errors on the performance characteristics were investigated and system design guide lines were established.
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