Research Article
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Year 2019, Volume: 7 Issue: 2, 171 - 177, 30.04.2019
https://doi.org/10.17694/bajece.536026

Abstract

References

  • [1] S. Banu, “Precision Agriculture: Tomorrow’s Technology for Today’s Farmer,” J. Food Process. Technol., vol. 06, no. 08, pp. 8–13, 2015.
  • [2] R. Bongiovanni and J. Lowenberg-Deboer, “Precision Agriculture and Sustainability,” Precis. Agric., vol. 5, pp. 359–387, 2004.
  • [3] A. Balafoutis et al., “Precision agriculture technologies positively contributing to ghg emissions mitigation, farm productivity and economics,” Sustain., vol. 9, no. 8, pp. 1–28, 2017.
  • [4] V. I. Umogbai, “Development of a Mechanical Family Poultry Feeder,” J. Emerg. Trends Eng. Appl. Sci., vol. 4, no. 6, pp. 837–846, 2013
  • [5] O. M. Olaniyi, T. A. Folorunso, K. J.G., and J. A. Bala, “A Mobile Intelligent Poultry Feed Dispensing System Using Particle Swarm Optimized PID Control Technique,” in Proceedings of ISTEAMS Multidisciplinary Cross Border Conference, University of Professional Studies, Accra, Ghana, 2016, pp. 185–194.
  • [6] P. Mohindru, G. Sharma, and P. Pooja, “Simulation Performance of PID and Fuzzy Logic Controller for Higher Order System,” Commun. Appl. Electron., vol. 1, no. 7, pp. 31–35, 2015.
  • [7] T. A. Folorunso, S. H. Bello, O. M. Olaniyi, and A. W. Norhaliza, “Control of a Two Layered Coupled Tank: Application of IMC, IMC-PI and Pole-Placement PI Controllers,” Int. J. Multidiscip. Sci. Eng., vol. 4, no. 11, pp. 1–6, 2013.
  • [8] E. Yesil, M. Guzelkaya, and I. Eksin, “Fuzzy PID controllers: An overview.,” in The 3rd Triennial ETAI International Conference on Applied Automatic Systems, At Ohrid, Macedonia, 2003.
  • [9] V. Kumar, B. Nakra, and A. Mittal, “A review of classical and fuzzy PID controllers,” Int. J. Intell. Control Syst., vol. 16, no. 3, pp. 170–181, 2011.
  • [10] B. Omosebi, “Development of a self-propelled poultry feed dispenser with Feed level detector,” Ladoke Akintola University of Technology, Nigeria, 2006.
  • [11] O. T. Arulogun, O. M. Olaniyi, A. O. Oke, and D. O. Fenwa, “Development of Mobile Intelligent Poultry Feed Dispensing System,” Medwell J. Eng. Appl. Sci., vol. 5, no. 3, pp. 229–233, 2010.
  • [12] O. M. Olaniyi, O. F. Salami, O. O. Adewumi, and O. S. Ajibola, “Design of an Intelligent Poultry Feed and Water Dispensing System Using Fuzzy Logic Control Technique,” Control Theory Informatics, vol. 4, no. 9, pp. 61–72, 2014.
  • [13] A. Adejumo, “Design and Development of a Mobile Intelligent Poultry Liquid Feed Dispensing System using GA Tuned PID Control Technique,” Federal University of Technology, Minna, Nigeria, 2015.
  • [14] H. O. Bansal, R. Sharma, and P. R. Shreeraman, “PID Controller Tuning Techniques : A Review,” J. Control Eng. Technol., vol. 2, no. 4, pp. 168–176, 2012.
  • [15] B. Singh and A. K. Mishra, “Fuzzy Logic Control System and its Applications,” Int. Res. J. Eng. Technol., vol. 2, no. 8, pp. 742–746, 2015.
  • [16] A. S. Omar, M. Waweru, and R. Rimiru, “Application of Fuzzy Logic in Qualitative Performance Measurement of Supply Chain Management,” Int. J. Inf. Commun. Technol. Res., vol. 5, no. 6, 2015.
  • [17] Y. Luo et al., “Fuzzy-Logic-Based Control , Filtering , and Fault Detection for Networked Systems : A Survey,” Math. Probl. Eng., vol. 2015, 2015.

Poultry Feed Dispensing System Control: A Case between Fuzzy Logic Controller and PID Controller

Year 2019, Volume: 7 Issue: 2, 171 - 177, 30.04.2019
https://doi.org/10.17694/bajece.536026

Abstract

The application of precision agriculture in
farming practices results in higher yield and productivity with lower costs.
Several works have applied this concept to poultry farming to reduce human
involvement, stress, fatigue, wastage of poultry feed and provide a high return
on investment. A number of these systems lack control techniques to improve the
system performance. A few works exist that implemented control techniques to
improve system response, but different systems were implemented and therefore,
a comparison cannot be made.
In
this paper the performance comparison of the Fuzzy Logic Controller (FLC) and
the PID Controller on the Poultry Feed Dispensing System was evaluated in a
quest to determine the more efficient and effective controller.
The system was modelled and simulated using MATLAB SIMULINK and the
performance was evaluated based on the rise time, settling time, overshoot and
Integrated Absolute Error (IAE). The results showed that the system implemented
with the PID and FLC performed better than the system without a control
technique. The PID gave a faster system response than the FLC in the solid feed
subsystem with a difference in rise time, settling time and IAE of 9.72
seconds, 11.68 seconds and 4.74 respectively. The FLC performed better in the
liquid feed subsystem with a difference in rise time, settling time, overshoot
and IAE of 9.22 seconds, 33.07 seconds, 13.92% and 7.18 respectively. This shows
that the PID controller is more suitable in the solid feed subsystem and the
FLC is more effective in the liquid feed subsystem.

References

  • [1] S. Banu, “Precision Agriculture: Tomorrow’s Technology for Today’s Farmer,” J. Food Process. Technol., vol. 06, no. 08, pp. 8–13, 2015.
  • [2] R. Bongiovanni and J. Lowenberg-Deboer, “Precision Agriculture and Sustainability,” Precis. Agric., vol. 5, pp. 359–387, 2004.
  • [3] A. Balafoutis et al., “Precision agriculture technologies positively contributing to ghg emissions mitigation, farm productivity and economics,” Sustain., vol. 9, no. 8, pp. 1–28, 2017.
  • [4] V. I. Umogbai, “Development of a Mechanical Family Poultry Feeder,” J. Emerg. Trends Eng. Appl. Sci., vol. 4, no. 6, pp. 837–846, 2013
  • [5] O. M. Olaniyi, T. A. Folorunso, K. J.G., and J. A. Bala, “A Mobile Intelligent Poultry Feed Dispensing System Using Particle Swarm Optimized PID Control Technique,” in Proceedings of ISTEAMS Multidisciplinary Cross Border Conference, University of Professional Studies, Accra, Ghana, 2016, pp. 185–194.
  • [6] P. Mohindru, G. Sharma, and P. Pooja, “Simulation Performance of PID and Fuzzy Logic Controller for Higher Order System,” Commun. Appl. Electron., vol. 1, no. 7, pp. 31–35, 2015.
  • [7] T. A. Folorunso, S. H. Bello, O. M. Olaniyi, and A. W. Norhaliza, “Control of a Two Layered Coupled Tank: Application of IMC, IMC-PI and Pole-Placement PI Controllers,” Int. J. Multidiscip. Sci. Eng., vol. 4, no. 11, pp. 1–6, 2013.
  • [8] E. Yesil, M. Guzelkaya, and I. Eksin, “Fuzzy PID controllers: An overview.,” in The 3rd Triennial ETAI International Conference on Applied Automatic Systems, At Ohrid, Macedonia, 2003.
  • [9] V. Kumar, B. Nakra, and A. Mittal, “A review of classical and fuzzy PID controllers,” Int. J. Intell. Control Syst., vol. 16, no. 3, pp. 170–181, 2011.
  • [10] B. Omosebi, “Development of a self-propelled poultry feed dispenser with Feed level detector,” Ladoke Akintola University of Technology, Nigeria, 2006.
  • [11] O. T. Arulogun, O. M. Olaniyi, A. O. Oke, and D. O. Fenwa, “Development of Mobile Intelligent Poultry Feed Dispensing System,” Medwell J. Eng. Appl. Sci., vol. 5, no. 3, pp. 229–233, 2010.
  • [12] O. M. Olaniyi, O. F. Salami, O. O. Adewumi, and O. S. Ajibola, “Design of an Intelligent Poultry Feed and Water Dispensing System Using Fuzzy Logic Control Technique,” Control Theory Informatics, vol. 4, no. 9, pp. 61–72, 2014.
  • [13] A. Adejumo, “Design and Development of a Mobile Intelligent Poultry Liquid Feed Dispensing System using GA Tuned PID Control Technique,” Federal University of Technology, Minna, Nigeria, 2015.
  • [14] H. O. Bansal, R. Sharma, and P. R. Shreeraman, “PID Controller Tuning Techniques : A Review,” J. Control Eng. Technol., vol. 2, no. 4, pp. 168–176, 2012.
  • [15] B. Singh and A. K. Mishra, “Fuzzy Logic Control System and its Applications,” Int. Res. J. Eng. Technol., vol. 2, no. 8, pp. 742–746, 2015.
  • [16] A. S. Omar, M. Waweru, and R. Rimiru, “Application of Fuzzy Logic in Qualitative Performance Measurement of Supply Chain Management,” Int. J. Inf. Commun. Technol. Res., vol. 5, no. 6, 2015.
  • [17] Y. Luo et al., “Fuzzy-Logic-Based Control , Filtering , and Fault Detection for Networked Systems : A Survey,” Math. Probl. Eng., vol. 2015, 2015.
There are 17 citations in total.

Details

Primary Language English
Subjects Electrical Engineering
Journal Section Araştırma Articlessi
Authors

Jibril Bala 0000-0003-4886-3924

Olayemi Olaniyi 0000-0002-2294-5545

Taliha Folorunso 0000-0002-9373-6679

Oladiran Arulogun This is me 0000-0003-0254-4944

Publication Date April 30, 2019
Published in Issue Year 2019 Volume: 7 Issue: 2

Cite

APA Bala, J., Olaniyi, O., Folorunso, T., Arulogun, O. (2019). Poultry Feed Dispensing System Control: A Case between Fuzzy Logic Controller and PID Controller. Balkan Journal of Electrical and Computer Engineering, 7(2), 171-177. https://doi.org/10.17694/bajece.536026

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