Modelling of Horizontal Flexible Plate Structure Using Artificial Bee Colony Algorithm

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    This paper presents the performance of system identification for modeling the horizontal flexible plate system using artificial bee colony and recursive least square algorithms. Initially, the experimental rig of flexible plate was designed and fabricated with all edges clamped boundary condition at the horizontal position. Then, the instrumentation and data acquisition systems were integrated into the rig for acquiring the input-output vibration experimentally. The collected data in the experiment will be used later for modeling the dynamic system of horizontal flexible plate system using system identification. The effectiveness of the developed model will be validated using mean squared error, one step ahead prediction, correlation tests and pole zero diagram stability. The estimated of the developed models were found are acceptable and possible to be used as a platform of controller development for vibration suppression of the undesirable vibration in the flexible plate structure. It was found that the artificial bee colony algorithm has performed better in this study by achieving the lowest mean squared error, good correlation test and high stability in the pole zero diagram.

     

     


  • Keywords


    Active vibration control, Artificial bee colony, Evolutionary swarm algorithm, Flexible structures, System identification.

  • References


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      [3] Al-Khafaji AAM (2010), “System identification of flexible plate structure”, Master Thesis, Dept. of Applied mechanics, Faculty of mechanical Engineering, Universiti Teknologi Malaysia.

      [4] Mat Darus IZ & Al-Khafaji AAM (2012), “Non-paramteric modeling of a rectangular flexible plate structure. Journal of Engineering Applications of Artificial Intelligence, 25: 94-106.

      [5] Mat Darus IZ (2004), “Soft computing adaptive vibration control of flexible structures”, Ph.D. Thesis, Department of Automatic Control and System Engineering, University of Sheffield.

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      [8] Hadi MS, Hashim MH & Mat Darus IZ (2012), “Genetic modeling of a rectangular flexible plate system with free-free-clamped-clamped (FFCC) edges”. IEEE Proceedings on Control, Systems and Industrial Informatics (ICCSII), Bandung, Indonesia, 23-26 September, pp. 173-179.

      [9] Hadi, MS, Mat Darus IZ, Pek Eek RT & Mohd Yatim H (2014), “Swarm intelligence for modeling a flexible plate structure system with clamped-clamped-free-free boundary condition edges”. IEEE Symposium on Industrial Electronics & Applications (ISIEA), 28 September-1 October, pp. 119-124.


 

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Article ID: 28153
 
DOI: 10.14419/ijet.v7i4.36.28153




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