ARX modeling of flexible beam system using bat algorithm

2021 ◽  
Author(s):  
Mohd Sazli Saad ◽  
Noor Fadhilah Mat Ros ◽  
Mohd Zakimi Zakaria ◽  
Mohamad Ezral Baharudin ◽  
Azuwir Mohd Nor
Author(s):  
Ali Akhbar Mohd Fadzli ◽  
Muhamad Sukri Hadi ◽  
Rickey Ting Pek Eek ◽  
Mat Hussin Ab. Talib ◽  
Hanim Mohd Yatim ◽  
...  

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.


2014 ◽  
Vol 695 ◽  
pp. 605-608 ◽  
Author(s):  
Mohd Zakimi Zakaria ◽  
Mohd Sazli Mohd Saad ◽  
Hishamuddin Jamaluddin ◽  
Robiah Ahmad

This paper proposes an algorithm called multi-objective optimization using differential evolution (MOODE) for providing the optimal mathematical model of flexible beam system. The main reason of developing a flexible beam system is to find an appropriate controller to control the vibration produced by this system. This dynamic system is treated as a black box where the acquired input-output data is used in the modeling processes. Two objective functions are considered for optimization; minimizing the number of term of a model structure and minimizing the mean square error between actual and predicted outputs. Nonlinear auto-regressive with exogenous input (NARX) model is used to represent the mathematical model of the investigated system. To obtain an optimal model for representing the dynamic behavior of flexible beam system, the model validity tests have been applied.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Chuanlu Zhou ◽  
Long Qin ◽  
Ming Chen ◽  
Jingxiang Zhang

Beam slab structure is often encountered in a complex tunnel boring machine. Beam slab structure is subject to dynamic load, which is easy to cause fatigue damage and affect its service life. Therefore, it is necessary to control the vibration of this kind of beam slab structure. In this study, the central rigid body-flexible beam model is established for the rotating beam and plate rotating around the y-axis. Based on the Hamilton variational principle, the dynamic equation of the central rigid body-flexible beam system is established, and the dynamic model of the central rigid body-flexible beam system considering the influence of Coriolis force and centrifugal force is given. The vibration control of the central rigid body-flexible beam system is studied. The vibration mode of the rotating Euler Bernoulli beam is determined by using the elastic wave and vibration mode theory. The influence of the rotating motion on the beam vibration is analyzed, and the variable structure control law is designed to suppress the beam vibration. Numerical simulation results show that the control method can effectively suppress the first-order and second-order vibration of the beam and verify the effectiveness of the control strategy.


Author(s):  
Jiann-Shiun Lew ◽  
Carlo Hyde ◽  
Montanez Wade

Abstract In this paper, we use the change of the identified transfer function parameters of structural dynamics for damage detection of a flexible beam system. The technique used for damage detection is based on the correlation between the identified parameter change and the change of the analytical model, such as a finite element model, due to damage. A least-squares technique is developed to identify the transfer function parameters from the experimental data. In the damage detection process, first the location of damage is identified, then the intensity of damage is estimated. Applying the presented approach to a flexible beam, only one sensor is needed to successfully locate the damage position and accurately estimate the intensity of damage.


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