Poultry Feed Dispensing System Control: A Case between Fuzzy Logic Controller and PID Controller
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.
Keywords
References
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Details
Primary Language
English
Subjects
Electrical Engineering
Journal Section
Research Article
Authors
Jibril Bala
*
0000-0003-4886-3924
Nigeria
Olayemi Olaniyi
0000-0002-2294-5545
Nigeria
Taliha Folorunso
0000-0002-9373-6679
Nigeria
Oladiran Arulogun
This is me
0000-0003-0254-4944
Nigeria
Publication Date
April 30, 2019
Submission Date
March 5, 2019
Acceptance Date
April 17, 2019
Published in Issue
Year 2019 Volume: 7 Number: 2
