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- W2392114571 abstract "This study presents an active vibration control(AVC)system that can significantly suppress dangerous low-frequency resonant vibration of the wind tunnel aerodynamic model at high angles of attack.A novel learning controller is proposed to increase the damping of the stiff-mounted model structures to minimize certain resonant responses.The corresponding control algorithm has a very simple structure which consists of two time-domain learning components in additive form: a fixed gain learning mechanism and a variable gain learning mechanism,both of that are all based on present and previous response information so that no a priori system modeling is required.The interactions between the learning components have been explored and they have been shown to be complementary to each other.The developed AVC system is experimentally examined by a practical wind tunnel aerodynamic model test system for near-resonant excitation cases.The experimental results indicate the effectiveness and feasibility of the presented AVC system,and the proposed controller is highly promising for this application field." @default.
- W2392114571 created "2016-06-24" @default.
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- W2392114571 date "2007-01-01" @default.
- W2392114571 modified "2023-09-25" @default.
- W2392114571 title "Experimental evaluation of an active vibration control system for wind tunnel aerodynamic models" @default.
- W2392114571 hasPublicationYear "2007" @default.
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