Humidity Control Scheme for Chicken Chick Banda for Improved Performance using Particle Swarm Optimization
Open Access
- 30 June 2022
- journal article
- Published by Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP in International Journal of Engineering and Advanced Technology
- Vol. 11 (5), 101-104
- https://doi.org/10.35940/ijeat.e3570.0611522
Abstract
The research is about developing of prototype Humidity control unit of a chicken chick Banda for maximum reduction in energy wastage and ensuring conducive environmental condition for bird’s growth and development using the proportional integral differential (PID) controller and the particle swarm optimization (PSO) technique for comparison purposes. The PSO stated here in is a stochastic optimization method working on the movement of swarm so as to achieve convergence. The study is achieved through designing of a prototype of the humidity environment controller to achieve two states or conditions that is for the controlled case and for the uncontrolled case. Environmental humidity control is achieved using a programmed Arduino and the DC FAN. The process is then designed using the MATLAB simulation software operating at the Simulink model designing platform. The same design is connected to the PID controller and then also tuned using the PID tuning platform on the Matlab. The same design is implemented on the workspace using particle swarm optimization method and it is then run to see the system behavior in terms of settling time, rising time and peak overshoot. The major reason of the study is to demystify the myth that one can only use conventional PID controller techniques in performance improvement and that there is a better method which can similarly be used with better results and cheaper. Most poultry farmers are stack with their old ways of achieving good performance therefore the results of this work will be an eye opener for them to embrace new techniques in the market The presented particle swarm optimization techniques shows impressive performance in terms of the settling time, rise time and over shoot.Keywords
This publication has 9 references indexed in Scilit:
- Design of intelligent air conditioner controller using fuzzy logicPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Fuzzy logic controller design for intelligent air-conditioning systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Developing of Fuzzy Logic Controller for Air Condition SystemInternational Journal of Computer Applications, 2015
- Energy conservation possibilities in heating ventilating air conditioning system using fuzzy logicPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Energy-efficient fuzzy model-based multivariable predictive control of a HVAC systemEnergy and Buildings, 2014
- Designing of a air-conditioning system using fuzzy logic with advantage of energy savingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- Room Temperature based Fan Speed Control System using Pulse Width Modulation TechniqueInternational Journal of Computer Applications, 2013
- Development of a Fuzzy Logic Controller Algorithm for Air-conditioning SystemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Microcontroller-Based Energy Saving Control for Air - Conditioning System Using Fuzzy Logic Approaching: An OverviewPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006