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Dynamic Modeling and Active Control of Flexible Plate Based on the Input-Output Data

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Abstract

This paper studies the low-order dynamic modeling and active control of a flexible plate and provides experimental verification. First based on the input-output data of the system, the Markov parameters of the system are identified using the method of observer/Kalman filter identification (OKID). Then a low-order state-space model is built using the eigensystem realization algorithm (ERA). Finally, a linear quadratic Gaussian (LQG) controller is designed based on the low-order state-space model. Experimental results have proved the effectiveness and feasibility of the research.

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Authors and Affiliations

  1. Department of Engineering Mechanics, State Key Laboratory of Ocean Engineering, Shanghai Jiaotong University, 200240, Shanghai, China

    Yong Xie, Tong Zhao & Guoping Cai

Authors
  1. Yong Xie
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  2. Tong Zhao
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  3. Guoping Cai
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Corresponding author

Correspondence to Guoping Cai.

Additional information

Project supported by the Key Project (No. 11132001) and the General Projects (Nos. 11072146 and 11002087) of the National Natural Science Foundation of China.

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Xie, Y., Zhao, T. & Cai, G. Dynamic Modeling and Active Control of Flexible Plate Based on the Input-Output Data. Acta Mech. Solida Sin. 26, 255–262 (2013). https://doi.org/10.1016/S0894-9166(13)60024-5

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  • DOI: https://doi.org/10.1016/S0894-9166(13)60024-5

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