Development of a Fuzzy Logic Controller for Industrial Conveyor Systems

Okon Nsa Ufot; Ise Ise Ekpoudom; Eddie Achie Akpan

doi:doi:10.11648/j.ajset.20170203.11

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Development of a Fuzzy Logic Controller for Industrial Conveyor Systems

Okon Nsa Ufot, Ise Ise Ekpoudom, Eddie Achie Akpan

Published in American Journal of Science, Engineering and Technology (Volume 2, Issue 3)

Received: 20 February 2017 Accepted: 6 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.

Published in	American Journal of Science, Engineering and Technology (Volume 2, Issue 3)
DOI	10.11648/j.ajset.20170203.11
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), 2017. 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.

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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://article.sciencepublishinggroup.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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TY  - JOUR
T1  - Development of a Fuzzy Logic Controller for Industrial Conveyor Systems
AU  - Okon Nsa Ufot
AU  - Ise Ise Ekpoudom
AU  - Eddie Achie Akpan
Y1  - 2017/05/19
PY  - 2017
N1  - https://doi.org/10.11648/j.ajset.20170203.11
DO  - 10.11648/j.ajset.20170203.11
T2  - American Journal of Science, Engineering and Technology
JF  - American Journal of Science, Engineering and Technology
JO  - American Journal of Science, Engineering and Technology
SP  - 77
EP  - 82
PB  - Science Publishing Group
SN  - 2578-8353
UR  - https://doi.org/10.11648/j.ajset.20170203.11
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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Author Information

Okon Nsa Ufot

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

Department of Electrical/Electronic and Computer Engineering, University of Uyo, Uyo, Nigeria
Eddie Achie Akpan

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

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Plain Text BibTeX RIS

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

Copy | Download

@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://article.sciencepublishinggroup.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}
}

Copy | Download

TY  - JOUR
T1  - Development of a Fuzzy Logic Controller for Industrial Conveyor Systems
AU  - Okon Nsa Ufot
AU  - Ise Ise Ekpoudom
AU  - Eddie Achie Akpan
Y1  - 2017/05/19
PY  - 2017
N1  - https://doi.org/10.11648/j.ajset.20170203.11
DO  - 10.11648/j.ajset.20170203.11
T2  - American Journal of Science, Engineering and Technology
JF  - American Journal of Science, Engineering and Technology
JO  - American Journal of Science, Engineering and Technology
SP  - 77
EP  - 82
PB  - Science Publishing Group
SN  - 2578-8353
UR  - https://doi.org/10.11648/j.ajset.20170203.11
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  -

Copy | Download