Dynamic Responses and Active Vibration Control of Beam Structures Under a Travelling Mass

Ryu, Bong-Jo; Kong, Yong-Sik

doi:10.5772/39272

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…Pisarski and Bajer [7] explored semi-active control of a string supported by a viscous damper subjected to a moving load. Ryu and Kong [8] investigated the dynamic response and active vibration control of beams subjected to a traveling mass. Good agreement was observed between the experimental results of the dynamic deflection of a beam traversed by a moving mass and their simulation results.…”

Section: Introductionmentioning

confidence: 99%

Self-adaptive vibration control of simply supported beam under a moving mass using self-recurrent wavelet neural networks via adaptive learning rates

2015

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A self-recurrent wavelet neural network (SRWNN) is used to control suppression of vibration of an Euler-Bernoulli beam under excitation of a moving mass traveling along a vibrating path. The proposed control structure uses one SRWNN as an identifier and one as a controller. The SRWNN identifier is trained to model the dynamic behavior of the process and provide the SRWNN controller with information about system sensitivity. The SRWNN controller uses the sensitivity information provided by the SRWNN identifier to update weights and produce a signal that controls beam vibration. The gradient descent method and adaptive learning rates (ALRs) are used to update all SRWNN weights. The ALRs are obtained using the discrete Lyapunov stability theorem which guarantees the convergence of the proposed control structure. The performance and robustness of the proposed controller are evaluated at different mass ratios of moving mass to beam and for dimensionless velocity of a moving mass. The simulations verify the effectiveness and robustness of the controller.

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Section: Introductionmentioning

confidence: 99%

Self-adaptive vibration control of simply supported beam under a moving mass using self-recurrent wavelet neural networks via adaptive learning rates

2015

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“…The dynamic response and vibration control of structures with moving masses or loads has been an active research area since 1849 (Ryu and Kong, 2012). It has applications in the engineering systems like bridges, pipes, cranes, etc.…”

Section: Introductionmentioning

confidence: 99%

Trapez Hız Profilinin Ayarlanması Yoluyla Hareketli Bir Kütle Altındaki Kirişin Titreşim Kontrolü

KARAGÜLLE

Akdağ

2023

International Journal of Pure and Applied Sciences

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In this article, the residual vibration of a simply supported beam with a moving mass is studied. The mass moves from a starting point to an end point on the beam with a trapezoidal velocity profile having accelerating, constant velocity and decelerating time intervals. The residual vibration of the mid-point of the beam after the mass stops is analyzed. The mathematical model of the system is developed using the finite element (FE) theory. Newmark method is used for the solution of FE model having time dependent matrices because of the moving mass. The model is verified by comparing the solution results with the results given in the previous studies in the literature. It is seen that the relationship between the natural frequency of the system and the velocity profile of the moving mass has an effect on the residual vibration of the structure. If the natural frequency of the system and the inverse of the deceleration time interval of the moving mass are equal while the moving mass is at the stopping position, residual vibrations occur at a minimum level. It seen that with the right speed profile selection, the decrease in vibration levels approaches 70% during the movement and 80% after stopping.

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“…The problem of the structures under the influence of moving loads or moving mass are of technological importance and has attracted the attention of many researchers in the last few decades. There are a lot of works can be found in the published literature [9][10][11][12][13][14][15][16][17][18][19]. And we can find some studies in the literature about active vibration control of dynamic response of such structures using piezoelectric actuator.…”

Section: Introductionmentioning

confidence: 99%

Active vibration control of rotating beam with moving mass using piezoelectric actuator

Zhao¹,

Yu-hua²

2019

J. vibroeng.

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The robotic arm carrying a moving end effector can be modeled as a rotating beam with moving mass. Active vibration control of rotating beam with moving mass using piezoelectric actuator is presented. Simply supported beam and cantilevered beam are considered in this studying. The equations of the system are derived by Lagrange's equation with the assumed mode method. The linear classical optimal control algorithm with displacement-velocity feedback is used to determine the control voltage. The numerical simulations reveal that the transverse displacements of the beam can be effectively reduced by the actuators. The effect of rotational speed and acceleration to the dynamic responses of the beam are also investigated.

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Dynamic Responses and Active Vibration Control of Beam Structures Under a Travelling Mass

Cited by 4 publications

References 14 publications

Self-adaptive vibration control of simply supported beam under a moving mass using self-recurrent wavelet neural networks via adaptive learning rates

Self-adaptive vibration control of simply supported beam under a moving mass using self-recurrent wavelet neural networks via adaptive learning rates

Trapez Hız Profilinin Ayarlanması Yoluyla Hareketli Bir Kütle Altındaki Kirişin Titreşim Kontrolü

Active vibration control of rotating beam with moving mass using piezoelectric actuator

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