Evolutionary algorithms for self-tuning Active Vibration Control of flexible beam

Author(s):  
Muhammad Anas Fadil ◽  
Intan Z. Mat Darus
Author(s):  
Lawrence R. Corr ◽  
William W. Clark

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.


2015 ◽  
Vol 660 ◽  
pp. 356-360 ◽  
Author(s):  
Mohd Sazli Saad ◽  
Hishamuddin Jamaluddin ◽  
Intan Zaurah Mat Darus ◽  
Irfan Abd Rahim

Experimental studies are conducted on active vibration control using self-tuning proportional integral derivative and self-tuning proportional iterative learning algorithm control schemes to suppress vibration on a flexible beam via real-time computer control. An experimental rig is developed to investigate controller performance when a change in the dynamic behavior of the flexible beam system occurs. The performance of the self-tuning control schemes is validated experimentally and compared with that of conventional control schemes through the use of an iterative learning algorithm. Experimental results clearly reveal the effectiveness and robustness of the self-tuning control schemes over conventional control schemes.


2013 ◽  
Vol 421 ◽  
pp. 579-584 ◽  
Author(s):  
Xian Jun Sheng ◽  
Sheng Zhong ◽  
Ke Xin Wang ◽  
Tao Jiang

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.


2001 ◽  
Vol 17 (4) ◽  
pp. 173-177
Author(s):  
Der-An Wang ◽  
Yii-Mai Huang

ABSTRACTActive vibration control of a flexible beam subjected to arbitrary, unmeasurable disturbance forces is investigated in this paper. The concept of independent modal space control is adopted. Both the feedforward and feedback control is implemented here to reduce the beam vibration. Because of the existence of the disturbance forces, the feedforward control is applied by employing the idea of force cancellation. A modal space disturbance force observer is then established in this paper to observe the disturbance modal forces for the feedforward control. For obtaining the feedforward and feedback control gains with the optimal sense, the nearly optimal control law is derived, where the modal disturbance forces are regarded as additional states. The vibration control performances and the asymptotic properties of the control law are discussed.


Author(s):  
M A Hossain ◽  
M O Tokhi

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.


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