Research of Active Vibration Control for Cantilever Beam Based on Macro Fiber Composite Actuators

Xin, Zhenfang; Gao, Dongdong; Lu, Shouwei; Fu, Xin; Zhu, Yuemin; Xu, Jun

doi:10.1109/iccsi55536.2022.9970636

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…The process of vibration analysis begins with the strategic placement of sensors throughout the structure [13][14][15][16][17][18]. These sensors, including accelerometers, strain gauges, and displacement sensors, are selected and positioned carefully to capture comprehensive data on the structure's vibrations [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

The main distinguishing characteristic of active vibration control

Ghemari,

Belkhiri

2024

Mech. Eng. Advan.

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Active Vibration Control (AVC) stands out as a prominent technique in the realm of vibration mitigation and structural dynamics. Unlike passive vibration control methods that rely on dampers or isolators, AVC systems actively manipulate forces or motions within a structure in real-time to counteract undesirable vibrations. In this paper, the main distinguishing characteristic of AVC lies in its proactive approach, wherein control algorithms and actuators are employed to actively sense and respond to dynamic changes in the system. The application of Newton’s second law allows to model of the vibration sensors operation, followed by simulations to improve their performance, contributes to the advancement of the active vibration control system by enabling more precise detection and measurement of vibrations.

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Section: Introductionmentioning

confidence: 99%

The main distinguishing characteristic of active vibration control

Ghemari,

Belkhiri

2024

Mech. Eng. Advan.

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Advanced PSO Algorithms Development with Combined lbest and gbest Neighborhood Topologies

Yuriy,

Viatcheslav,

Ziv

2024

Cybernetics and Information Technologies

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This paper introduces an innovative approach integrating global best (gbest) and local best (lbest) PSO communication topologies. The algorithm initiates with lbest and seamlessly transitions to gbest, with the switching rate controlled by the parameter “a”. Rational values of “a” is determined through numerical experiments. A comparative methodology employing two estimation criteria is used to showcase the improved performance of the modified PSO-based algorithms. Furthermore, the efficacy of this approach is demonstrated in addressing two optimal control problems within dynamical systems. Results highlight the modified algorithms’ superiority in terms of the total number of successful runs and statistical indicators. Consequently, these advanced algorithms prove effective for applications such as artificial neural network training, controller gains determination, and similar problem domains.

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Research of Active Vibration Control for Cantilever Beam Based on Macro Fiber Composite Actuators

Cited by 2 publications

References 7 publications

The main distinguishing characteristic of active vibration control

The main distinguishing characteristic of active vibration control

Advanced PSO Algorithms Development with Combined lbest and gbest Neighborhood Topologies

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