Active Vibration Suppression of the Wind Tunnel Model Support Structure by Positive Position Feedback Controller with Robust Phase Compensator

Huang, Yun; Wang, Mingzhen; Hu, Qi; Dong, Songwen; Shen, Xing; Wang, Chen

doi:10.1007/s42405-024-00797-3

Int. J. Aeronaut. Space Sci.

2024

DOI: 10.1007/s42405-024-00797-3

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Active Vibration Suppression of the Wind Tunnel Model Support Structure by Positive Position Feedback Controller with Robust Phase Compensator

Yun Huang,

Mingzhen Wang,

Qi Hu

et al.

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Cited by 2 publications

References 32 publications

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Multi-modal vibration control method combining modal decoupling and active disturbance rejection for wind tunnel models

Zhou,

Zhang,

Ren

et al. 2025

Journal of Sound and Vibration

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Multi-modal vibration control method combining modal decoupling and active disturbance rejection for wind tunnel models

Zhou,

Zhang,

Ren

et al. 2025

Journal of Sound and Vibration

View full text Add to dashboard Cite

Stability and bifurcation analysis of a 2DOF dynamical system with piezoelectric device and feedback control

Bahnasy,

Amer,

Abohamer

et al. 2024

Sci Rep

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This study aims to demonstrate the behaviors of a two degree-of-freedom (DOF) dynamical system consisting of attached mass to a nonlinear damped harmonic spring pendulum with a piezoelectric device. Such a system is influenced by a parametric excitation force on the direction of the spring’s elongation and an operating moment at the supported point. A negative-velocity-feedback (NVF) controller is inserted into the main system to reduce the undesired vibrations that affect the system’s efficiency, especially at the resonance state. The equations of motion (EOM) are derived by using Lagrangian equations. Through the use of the multiple-scales-strategy (MSS), approximate solutions (AS) are investigated up to the third order. The accuracy of the AS is verified by comparing them to the obtained numerical solutions (NS) through the fourth-order Runge-Kutta Method (RK-4). The study delves into resonance cases and solvability conditions to provide the modulation equations (ME). Graphical representations showing the time histories of the obtained solutions and frequency responses are presented utilizing Wolfram Mathematica 13.2 in addition to MATLAB software. Additionally, discusses the bifurcation diagrams, Poincaré maps, and Lyapunov exponent spectrums to show the various behavior patterns of the system. To convert vibrating motion into electrical power, a piezoelectric sensor is connected to the dynamical model, which is just one of the energy harvesting (EH) technologies with extensive applications in the commercial, industrial, aerospace, automotive, and medical industries. Moreover, the time histories of the obtained solutions with and without control are analyzed graphically. Finally, resonance curves are used to discuss stability analysis and steady-state solutions.

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Active Vibration Suppression of the Wind Tunnel Model Support Structure by Positive Position Feedback Controller with Robust Phase Compensator

Cited by 2 publications

References 32 publications

Multi-modal vibration control method combining modal decoupling and active disturbance rejection for wind tunnel models

Multi-modal vibration control method combining modal decoupling and active disturbance rejection for wind tunnel models

Stability and bifurcation analysis of a 2DOF dynamical system with piezoelectric device and feedback control

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