Research Article
A Fuzzy Logic Controller for Greenhouse Temperature Regulation System Based on Edge Computing
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@INPROCEEDINGS{10.1007/978-3-030-94763-7_24, author={Yue Ren and Celimuge Wu and Tsutomu Yoshinaga and Wugedele Bao}, title={A Fuzzy Logic Controller for Greenhouse Temperature Regulation System Based on Edge Computing}, proceedings={Mobile Networks and Management. 11th EAI International Conference, MONAMI 2021, Virtual Event, October 27-29, 2021, Proceedings}, proceedings_a={MONAMI}, year={2022}, month={1}, keywords={Edge computing Fuzzy Logic Controller PID controller Simulink Multivariate system}, doi={10.1007/978-3-030-94763-7_24} }- Yue Ren
Celimuge Wu
Tsutomu Yoshinaga
Wugedele Bao
Year: 2022
A Fuzzy Logic Controller for Greenhouse Temperature Regulation System Based on Edge Computing
MONAMI
Springer
DOI: 10.1007/978-3-030-94763-7_24
Abstract
Temperature and humidity are important factors affecting the growth of greenhouse crops. Reasonable temperature and humidity control can save energy and increase crop yields. This paper proposes a temperature controller based on fuzzy logic theory and applies it to smart greenhouses through edge computing. Temperature and humidity dynamic model and fuzzy logic controller (FLC) of the greenhouse are simulated by using the Simulink toolbox of MATLAB, and verified by comparison with the proportional integral derivative (PID) controller. The results show that in a multivariate greenhouse system, FLC is more stable than multiple PID controllers in temperature regulation of greenhouse.
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