灌溉
模糊控制系统
稳健性(进化)
模糊逻辑
计算机科学
控制系统
电磁阀
农业工程
环境科学
工程类
人工智能
生物
生物化学
基因
电气工程
化学
生态学
作者
Xunying Zhang,Yong Zhao
出处
期刊:Journal of Engineering Research and Reports
[Sciencedomain International]
日期:2022-08-11
卷期号:: 19-28
标识
DOI:10.9734/jerr/2022/v23i217593
摘要
Smart irrigation for sustainable agricultural water supply has been a critical initiative. In this paper, a fuzzy control system is designed to realize intelligent and precise irrigation by combining fuzzy control with traditional feedback control based on the features that soil moisture has significant influence and ease of detection and adjustment in practical irrigation. The opening time of solenoid valve is decided by the control system in real time, and the deviation and deviation rate of change for soil moisture are regarded as input variables. The model of intelligent irrigation fuzzy control system is built and compared with the model of PID control by Simulink for simulation. The results show that the fuzzy control system operates stably and achieves real-time precise irrigation with faster response and stronger robustness. The issue of reduced accuracy in irrigation due to the coupling between human and environmental factors is effectively solved by this design.
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