Balkan Journal of Electrical and Computer Engineering 2147-284X 2147-284X MUSA YILMAZ 10.17694/bajece.536026 Electrical Engineering Elektrik Mühendisliği Poultry Feed Dispensing System Control: A Case between Fuzzy Logic Controller and PID Controller https://orcid.org/0000-0003-4886-3924 Bala Jibril Federal University of Technology, Minna, Nigeria https://orcid.org/0000-0002-2294-5545 Olaniyi Olayemi Federal University of Technology, Minna, Nigeria https://orcid.org/0000-0002-9373-6679 Folorunso Taliha Federal University of Technology, Minna, Nigeria https://orcid.org/0000-0003-0254-4944 Arulogun Oladiran Ladoke Akintola University of Technology, Ogbomosho, Nigeria 04 30 2019 7 2 171 177 03 05 2019 04 17 2019 Copyright © 2013, Balkan Journal of Electrical and Computer Engineering 2013 Balkan Journal of Electrical and Computer Engineering

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

 Precision Agriculture PID Controller Fuzzy Logic Controller Poultry Feed Dispensing [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.