CHICKEN BANDA PERFORMANCE IMPROVEMENT UTILIZING NEURO-FUZZY LOGIC TECHNIQUE

Patrick O. M. Ogutu; Nicholas Oyie; Dr Winston Ochieng Ojenge

doi:10.46565/jreas.202273362-367

Authors

Patrick O. M. Ogutu Technoligists, Automation and Control, Technical University of Kenya
Nicholas Oyie Lecturer, Electrical and Electronics, Murang’a University
Dr Winston Ochieng Ojenge

DOI:

https://doi.org/10.46565/jreas.202273362-367

Keywords:

Optimizing;, Controller, , least square estimator;, Back propagation;, Neural Fuzzy Logic;

Abstract

This study is on improvement of performance of the chicken Banda, using indoor change in environmental conditions for temperature control. The differential change in climatic conditions is technically used to put on the fan and the Banda so as to realize the right comfortable indoor conditions.

The chicken chicks’ Banda Mathematical model is created, prototype designed, temperature controller to depict a two systems simulation of neuro fuzzy logic and fuzzy logic .The performance is analyzed by the use of Matlab Simulink latest edition. To monitor the temperature of the Chicken cage the neural fuzzy logic technique is utilized. As far as the prototype is concerned the chicks’ cage set temperature is fixed at 26.5⁰C.

The study will show that the reference input can be kept on track by the process controller hence proving the principle that the neural fuzzy control is much superior in optimizing performance compared to the fuzzy only controllers. The Back propagation (BP) and least square estimator (LSE) are the hybrid optimization methods which are used. For data training the gradient descent method (GDM) is used.

The research reveal that there is drastic performance improvement in the behavior response where result show that there settling time is reduced from 0.75 to 0.48 seconds while the percentage overshoot is also reduced down from 29.9% to 0.9345%.

Author Biographies

Patrick O. M. Ogutu, Technoligists, Automation and Control, Technical University of Kenya

Mr. Patrick O.M.Ogutu An experienced and dedicated instrumentation and control technologist with over 23 years hands on experience in training, mentorship highly skilled and competent Instrumentation and control technicians who have also excelled in their work places as revealed by industrial liaison office. My short term goal is to obtain Mtech in control and instrumentation and in the next five years obtain PHD in instrumentation astronomy specializing in the design, maintenance, and calibration of modern astronomy instruments after successfully undergoing the basic DARA sponsored training where I gained insight and interest. I am currently in charge of the control and automation laboratory at the SEEE, a reliable and honest technologist who has excelled in the field of automation, performing duties with less supervision, timely handling of work and strictly adhering to the deadlines. Master of Technology (Instrumentation and control) Murang’a University of science and Technology (student), Bphil Technology (Automation and control) TUK. Higher Diploma in Electrical and Electronic Engineering, Mombasa polytechnic collage, Diploma in Technology (Instrumentation and control) ,Mombasa polytechnic collage

Nicholas Oyie, Lecturer, Electrical and Electronics, Murang’a University

Lecturer and Chairman of the Department EEE School of Engineering and Technology, Murang'a University of Technology, Kenya. PhD. in Electronic Engineering from the University of KwaZulu-Natal, South Africa. Registered Graduate Engineer with Engineers Board of Kenya (EBK).Contact email noyie@mut.ac.ke

Dr Winston Ochieng Ojenge

Dr Winston Ochieng Ojenge (PhD), Computer science at the T-UK, (M.Sc.) Information Systems UON (Kenya) 2008, (B.Ed.) technology Moi University (Kenya). Lecturer, Control and Automation Engineering. Contact email is

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