Modelling of Horizontal Flexible Plate Structure Using Artificial Bee Colony Algorithm

  • Authors

    • Muhamad Sukri Hadi
    • Sukri Hadi Zaurah Mat Darus
    2018-12-09
    https://doi.org/10.14419/ijet.v7i4.36.28153
  • Active vibration control, Artificial bee colony, Evolutionary swarm algorithm, Flexible structures, System identification.

  • 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.

     

     

  • References

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      [2] Zadeh MRS (2009), “Optimal placement of sensor and actuator for active vibration control of flexible structuresâ€, Master Thesis, Dept. of Applied mechanics, Faculty of mechanical Engineering, Universiti Teknologi Malaysia.

      [3] Al-Khafaji AAM (2010), “System identification of flexible plate structureâ€, 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 structuresâ€, Ph.D. Thesis, Department of Automatic Control and System Engineering, University of Sheffield.

      [6] Hadi MS & Mat Darus IZ (2013), “Intelligence swarm model optimization of flexible plate structure systemâ€, International Review of Automatic Control, 6(3): 322-331.

      [7] Tavakolpour AR, Mat Darus IZ, Mailah M & Tokhi MO (2010), “Genetic algorithm-based identification of transfer function parameters for a rectangular flexible plate system. Journal of Engineering Applications of Artificial Intelligence, 23(8): 1388-1397.

      [8] Hadi MS, Hashim MH & Mat Darus IZ (2012), “Genetic modeling of a rectangular flexible plate system with free-free-clamped-clamped (FFCC) edgesâ€. 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 edgesâ€. IEEE Symposium on Industrial Electronics & Applications (ISIEA), 28 September-1 October, pp. 119-124.

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  • How to Cite

    Sukri Hadi, M., & Zaurah Mat Darus, S. H. (2018). Modelling of Horizontal Flexible Plate Structure Using Artificial Bee Colony Algorithm. International Journal of Engineering & Technology, 7(4.36), 415-419. https://doi.org/10.14419/ijet.v7i4.36.28153

    Received date: 2019-03-03

    Accepted date: 2019-03-03

    Published date: 2018-12-09