| Research Title |
Mathematical Modeling of a Plant Factory System
for Optimal Fuzzy Logic Control
|
| Date of Distribution |
31 July 2020 |
| Conference |
| Title of the Conference |
2020 IEEE International Conference on Automatic Control and Intelligent Systems |
| Organiser |
Institute of Electrical and Electronics Engineers Inc. |
| Conference Place |
Grand Blue Wave HotelSelangor; Malaysia |
| Province/State |
|
| Conference Date |
20 June 2020 |
| To |
20 June 2020 |
| Proceeding Paper |
| Volume |
2020 |
| Issue |
1 |
| Page |
195-200 |
| Editors/edition/publisher |
Institute of Electrical and Electronics Engineers Inc. |
| Abstract |
Keeping moisture and temperature in an acceptable
range is necessary for high productivity in crop production,
and an effective controller must be designed for this task. In
this research, we present climate control of a plant factory
system model that we intend to control the temperature and
humidity ratio of a plant factory by focusing on actuators, airconditioners
and outgoing - incoming fans using a fuzzy logic
controller (FLC) with the proper parameters from a wellknown
meta heuristic algorithm, Particle Swarm Optimization
(PSO). Through computer simulation, the results indicate that
the presented FLC with PSO yields a better temperature and
humidity ratio than the current controller and is more energy
efficient. It is recommended that the proposed method is
another way to accurately control an inside climate for crop
production. |
| Author |
|
| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
|
| Citation |
0
|
|
|
Publication
Journal Publication
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