scholarly journals Active Vibration Control of a Flexible Beam Structure Using Chaotic Fractal Search Algorithm

2017 ◽  
Vol 170 ◽  
pp. 299-306 ◽  
Author(s):  
Tuan A.Z. Rahman ◽  
Azizan As’arry ◽  
Nawal Aswan Abdul Jalil
Keyword(s):  
Vibration Control ◽  
Search Algorithm ◽  
Active Vibration Control ◽  
Flexible Beam ◽  
Beam Structure ◽  
Active Vibration

Evolutionary adaptive active vibration control

1997 ◽  
Vol 211 (3) ◽  
pp. 183-193 ◽  
Author(s):  
M A Hossain ◽  
M O Tokhi
Keyword(s):  
Vibration Control ◽  
Control Mechanism ◽  
Vibration Suppression ◽  
Active Vibration Control ◽  
Adaptive Controller ◽  
Recursive Least Squares ◽  
Flexible Beam ◽  
Beam Structure ◽  
Comparative Performance ◽  
Active Vibration

This paper presents an investigation into the development of an adaptive active control mechanism for vibration suppression using genetic algorithms (GAs). GAs are used to estimate the adaptive controller characteristics, where the controller is designed on the basis of optimal vibration suppression using the plant model. This is realized by minimizing the prediction error of the actual plant output and the model output. A MATLAB GA toolbox is used to identify the controller parameters. A comparative performance of the conventional recursive least-squares (RLS) scheme and the GA is presented. The active vibration control system is implemented with both the GA and the RLS schemes, and its performance assessed in the suppression of vibration along a flexible beam structure in each case.

scholarly journals Dynamic Modelling of a Flexible Beam Structure Using Feedforward Neural Networks for Active Vibration Control

2019 ◽  
Vol 16 (1) ◽  
pp. 6263-6280
Author(s):  
Tuan A. Z. Rahman ◽  
A. As’arry ◽  
N. A. Abdul Jalil ◽  
R. Kamil
Keyword(s):  
Neural Networks ◽  
Vibration Control ◽  
Active Vibration Control ◽  
Dynamic Modelling ◽  
Feedforward Neural Networks ◽  
Flexible Beam ◽  
Parametric Modelling ◽  
Beam Structure ◽  
Active Vibration ◽  
Non Parametric

Active vibration control (AVC) techniques show promising results to reduce unwanted vibration level of flexible structures at any desired location. In this paper, the application of non-parametric identification method using feedforward neural networks (FNNs) to model a flexible beam structure for AVC system is presented. An experimental study was carried out to collect input-output dataset of a flexible beam system. The flexible beam was excited using a pseudo-random binary sequence (PRBS) force signal before acquiring the dynamic response of the system. A non-parametric modelling approach of the system was proposed based on feed-forward neural networks (FNNs) while its weight and bias parameters were optimised using chaotic-enhanced stochastic fractal search (SFS) algorithm. The performance of modified SFS algorithm to train a nonlinear auto-regressive exogenous model (NARX) structure FNNs-based model of the system was then compared with its predecessor and with several well-known metaheuristic algorithms. Correlation tests were used to validate the obtained model. Based on the proposed method, a small mean squared error value has been achieved in the validation phase. Considering both convergence rate and result accuracy simultaneously, the chaotic modified SFS algorithm performs significantly better than other training algorithms. In conclusion, the development of a non-parametric model of the flexible beam structure was conducted and validated for future investigations on active vibration control techniques.

Hybrid Active Vibration Control of Rotorbearing Systems Using Piezoelectric Actuators

1993 ◽  
Vol 115 (1) ◽  
pp. 111-119 ◽  
Author(s):  
A. B. Palazzolo ◽  
S. Jagannathan ◽  
A. F. Kascak ◽  
G. T. Montague ◽  
L. J. Kiraly
Keyword(s):  
Vibration Control ◽  
Search Algorithm ◽  
Active Vibration Control ◽  
Piezoelectric Actuators ◽  
Operating Speed ◽  
Speed Range ◽  
Active Vibration ◽  
Linear Fit ◽  
Hybrid Interface ◽  
Grid Search Algorithm

The vibrations of a flexible rotor are controlled using piezoelectric actuators. The controller includes active analog components and a hybrid interface with a digital computer. The computer utilizes a grid search algorithm to select feedback gains that minimize a vibration norm at a specific operating speed. These gains are then downloaded as active stiffnesses and dampings with a linear fit throughout the operating speed range to obtain a very effective vibration control.

Comparison of Active and Hybrid Vibration Confinement With Conventional Active Vibration Control

1999 ◽  
Author(s):  
Lawrence R. Corr ◽  
William W. Clark
Keyword(s):  
Vibration Control ◽  
Control Method ◽  
Numerical Study ◽  
Active Vibration Control ◽  
Piezoelectric Actuators ◽  
Control Technique ◽  
Flexible Beam ◽  
Velocity Feedback ◽  
Active Vibration ◽  
Piezoelectric Actuators And Sensors

Abstract This paper presents a numerical study in which active and hybrid vibration confinement is compared with a conventional active vibration control method. Vibration confinement is a vibration control technique that is based on reshaping structural modes to produce “quiet areas” in a structure as opposed to adding damping as in conventional active or passive methods. In this paper, active and hybrid confinement is achieved in a flexible beam with two pairs of piezoelectric actuators and sensors and with two vibration absorbers. For comparison purposes, active damping is achieved also with two pairs of piezoelectric actuators and sensors using direct velocity feedback. The results show that both approaches are effective in controlling vibrations in the targeted area of the beam, with direct velocity feedback being slightly more cost effective in terms of required power. When combined with passive confinement, however, each method is improved with a significant reduction in required power.

Study on Vibration Control of a Flexible Cantilever Beam Based on Fuzzy PID

2013 ◽  
Vol 421 ◽  
pp. 579-584 ◽  
Author(s):  
Xian Jun Sheng ◽  
Sheng Zhong ◽  
Ke Xin Wang ◽  
Tao Jiang
Keyword(s):  
Vibration Control ◽  
External Disturbance ◽  
Active Vibration Control ◽  
Flexible Beam ◽  
Fuzzy Pid ◽  
Aerospace Vehicles ◽  
External Interference ◽  
Aircraft Wings ◽  
Vibration Effect ◽  
Active Vibration

The overall performance of large aerospace vehicles is determined to a great extent by the wings structure of aircrafts. In order to prevent wings vibration due to external interference, schemes of combined fuzzy-PID and fuzzy adapt PID controllers are proposed based on flexible beam structure. The MATLAB simulation model demonstrates that the proposed controllers not only has good dynamic characteristics, but also reduce the vibration effect greatly caused by external disturbance, which lay the foundation for the active vibration control of aircraft wings.

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