American Journal of Science, Engineering and Technology

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Development of a Fuzzy Logic Controller for Industrial Conveyor Systems

Received: 20 February 2017    Accepted: 06 March 2017    Published: 19 May 2017
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Abstract

In many industrial operations, it is essential and desirable that the speed of two or more movable members be synchronized. In this paper, the design of a fuzzy logic controller (FLC) to control the speed of a conveyor belt system of the Champion Breweries Bottling plant is presented. The need to control the conveyor speed is borne out of the necessity to synchronize the conveyor lines speed with the speed of action of all the process machines within the production network. The traditional Proportional Integral Derivative (PID) controllers have some shortcomings that may be eliminated by the use of the more robust fuzzy logic control strategy. However, an accurate mathematical model of the conveyor system was first developed before the development and deployment of the PID controller and the fuzzy logic controller. Comparing the performance indices of both controllers, it was seen that the fuzzy Logic Controller performed better on the conveyor system than the PID controller.

DOI 10.11648/j.ajset.20170203.11
Published in American Journal of Science, Engineering and Technology (Volume 2, Issue 3, September 2017)
Page(s) 77-82
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Conveyor, Fuzzy Logic Controller, Membership Function, Rule Base, Modelling

References
[1] Foran, J. Optimization of a Fuzzy Logic Controller Using Genetic Algorithm, University of Texas Press, Texas, 2002
[2] Marks, R. J. “Fuzzy Logic Technology and Applications”, IEEE Technology Update Series, Vol. 23, Number 6, 1994, pp. 19-24.
[3] Nagrath, I. J. and Gopal, M., Control Systems Engineering, New Age International Publishers, New Delhi, 2007
[4] Lodewijks, G. “The Tow-Dimensional Behaviour of Belt Conveyors”, Proceedings of the Beltcon 8 Conference, Pretoria, South Africa, 24-26 October 1995, pp.11-19.
[5] Lieberwirth, H. (1994). “ Design of Belt Conveyors with Horizontal Curves”,Bulk Solids Handling Vol. 14, Number 6, 1994, pp. 283-285.
[6] Lee, S. C. and Lee, E. T. (1974). Fuzzy Sets and Neural Networks,J. Cybernetics, Vol. 4, Number 6, 1974, pp. 83-103.
[7] Umoren M. A., Ekpoudom I. I. and Essien A. O. “Design and Implementation of a Conveyor Line Speed Synchroniser For Industrial Control Applications” Nigerian Journal of Technology, Vol. 35, Number 3, 2016, pp. 619-626.
[8] Yen, J and Langari, R. (2004). Fuzzy Logic. Upper Saddle River, New Jersey: Pearson Education. pp. 13.
[9] Azar, A. T. (2010). Adaptive Neuro-Fuzzy Systems. Fuzzy Systems, 42(11): 85-110.
[10] Guillaume, S. and Charnomordic, B. (2012). Fuzzy Inference Systems: An Integrated Modelling Environment for Collaboration between Expert Knowledge and Data Using Fispro. Expert Systems with Applications, 39(10), 8744-8755.
Author Information
  • Department of Electrical/Electronic and Computer Engineering, University of Uyo, Uyo, Nigeria

  • Department of Electrical/Electronic and Computer Engineering, University of Uyo, Uyo, Nigeria

  • Department of Electrical/Electronic and Computer Engineering, University of Uyo, Uyo, Nigeria

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  • APA Style

    Okon Nsa Ufot, Ise Ise Ekpoudom, Eddie Achie Akpan. (2017). Development of a Fuzzy Logic Controller for Industrial Conveyor Systems. American Journal of Science, Engineering and Technology, 2(3), 77-82. https://doi.org/10.11648/j.ajset.20170203.11

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    ACS Style

    Okon Nsa Ufot; Ise Ise Ekpoudom; Eddie Achie Akpan. Development of a Fuzzy Logic Controller for Industrial Conveyor Systems. Am. J. Sci. Eng. Technol. 2017, 2(3), 77-82. doi: 10.11648/j.ajset.20170203.11

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    AMA Style

    Okon Nsa Ufot, Ise Ise Ekpoudom, Eddie Achie Akpan. Development of a Fuzzy Logic Controller for Industrial Conveyor Systems. Am J Sci Eng Technol. 2017;2(3):77-82. doi: 10.11648/j.ajset.20170203.11

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  • @article{10.11648/j.ajset.20170203.11,
      author = {Okon Nsa Ufot and Ise Ise Ekpoudom and Eddie Achie Akpan},
      title = {Development of a Fuzzy Logic Controller for Industrial Conveyor Systems},
      journal = {American Journal of Science, Engineering and Technology},
      volume = {2},
      number = {3},
      pages = {77-82},
      doi = {10.11648/j.ajset.20170203.11},
      url = {https://doi.org/10.11648/j.ajset.20170203.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajset.20170203.11},
      abstract = {In many industrial operations, it is essential and desirable that the speed of two or more movable members be synchronized. In this paper, the design of a fuzzy logic controller (FLC) to control the speed of a conveyor belt system of the Champion Breweries Bottling plant is presented. The need to control the conveyor speed is borne out of the necessity to synchronize the conveyor lines speed with the speed of action of all the process machines within the production network. The traditional Proportional Integral Derivative (PID) controllers have some shortcomings that may be eliminated by the use of the more robust fuzzy logic control strategy. However, an accurate mathematical model of the conveyor system was first developed before the development and deployment of the PID controller and the fuzzy logic controller. Comparing the performance indices of both controllers, it was seen that the fuzzy Logic Controller performed better on the conveyor system than the PID controller.},
     year = {2017}
    }
    

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    AU  - Okon Nsa Ufot
    AU  - Ise Ise Ekpoudom
    AU  - Eddie Achie Akpan
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    JF  - American Journal of Science, Engineering and Technology
    JO  - American Journal of Science, Engineering and Technology
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    AB  - In many industrial operations, it is essential and desirable that the speed of two or more movable members be synchronized. In this paper, the design of a fuzzy logic controller (FLC) to control the speed of a conveyor belt system of the Champion Breweries Bottling plant is presented. The need to control the conveyor speed is borne out of the necessity to synchronize the conveyor lines speed with the speed of action of all the process machines within the production network. The traditional Proportional Integral Derivative (PID) controllers have some shortcomings that may be eliminated by the use of the more robust fuzzy logic control strategy. However, an accurate mathematical model of the conveyor system was first developed before the development and deployment of the PID controller and the fuzzy logic controller. Comparing the performance indices of both controllers, it was seen that the fuzzy Logic Controller performed better on the conveyor system than the PID controller.
    VL  - 2
    IS  - 3
    ER  - 

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