Robust active vibration control of flexible smart beam by μ-synthesis

• A novel control framework for smart beam using μ -synthesis method is designed. • A novel system identification method for uncertain systems is proposed. • A novel finite element dynamic modeling method based on FSDT is presented. • Two experimental scenarios are implemented to validate controller effectiveness. • The proposed controller ensures effective vibration suppression and robustness. This paper presents a comprehensive method for designing a robust active vibration control system to suppress low-frequency vibrations in smart structures. A novel finite element method based on the first-order shear deformation theory is used to calculate the dynamic response of a smart beam. Through a comprehensive system identification process, the uncertain model of the smart beam is extracted considering both the magnitude and phase. The model fits the experimental data successfully. In addition, a generalized low-frequency vibration control performance function is designed for the piezoelectric smart beam. Using a linear fractional transformation, the system is converted into a standard μ -synthesis control framework, and the controller K is synthesized using structural singular values μ . The effectiveness of the proposed method is experimentally validated using a setup with a piezoelectric smart beam. The experimental results suggest that the proposed control method exhibits robust stability and robust performance, effectively enhancing the performance of smart structure control in various scenarios. The proposed control framework utilizes structured singular value analysis to provide optimal robust stability margins and superior robust control performance, effectively addressing system uncertainties and non-linearities.

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Publication Details

Journal
Journal of Sound and Vibration
Published
2024-09-14
DOI
https://doi.org/10.1016/j.jsv.2024.118737
Citations
10
Primary Topic
Aeroelasticity and Vibration Control
Type
article
Field-Weighted Citation Impact
12.99
Controls
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article

Robust active vibration control of flexible smart beam by μ-synthesis

Zhong Chen, Xianmin Zhang, Shubo Zhang
10 citations
Journal of Sound and Vibration
Aeroelasticity and Vibration Control
12.99
article

Robust active vibration control of flexible smart beam by μ-synthesis

Zhong Chen, Xianmin Zhang, Shubo Zhang
article en
10 citations

Abstract

• A novel control framework for smart beam using μ -synthesis method is designed. • A novel system identification method for uncertain systems is proposed. • A novel finite element dynamic modeling method based on FSDT is presented. • Two experimental scenarios are implemented to validate controller effectiveness. • The proposed controller ensures effective vibration suppression and robustness. This paper presents a comprehensive method for designing a robust active vibration control system to suppress low-frequency vibrations in smart structures. A novel finite element method based on the first-order shear deformation theory is used to calculate the dynamic response of a smart beam. Through a comprehensive system identification process, the uncertain model of the smart beam is extracted considering both the magnitude and phase. The model fits the experimental data successfully. In addition, a generalized low-frequency vibration control performance function is designed for the piezoelectric smart beam. Using a linear fractional transformation, the system is converted into a standard μ -synthesis control framework, and the controller K is synthesized using structural singular values μ . The effectiveness of the proposed method is experimentally validated using a setup with a piezoelectric smart beam. The experimental results suggest that the proposed control method exhibits robust stability and robust performance, effectively enhancing the performance of smart structure control in various scenarios. The proposed control framework utilizes structured singular value analysis to provide optimal robust stability margins and superior robust control performance, effectively addressing system uncertainties and non-linearities.

Journal of Sound and VibrationVol. 596
Guangdong University of Technology (CN), South China University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 2%
Aeroelasticity and Vibration Control
12.99
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