Simulation of fuzzy control for greenhouse temperature based on ANFIS

被引：0
|
作者：
Ge J. [1 ]
Luo J. [1 ]
Li X. [1 ]
Wang X. [1 ]
机构：
[1] State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University
来源：
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | 2010年 / 26卷 / 08期
关键词：
ANFIS; Greenhouse; Membership functions; Simulation model;
D O I：
10.3969/j.issn.1002-6819.2010.08.037
中图分类号：
学科分类号：
摘要：
The paper deals with the problem of modeling and control of greenhouses inside climate defined by the temperature. According to the thermal balance principle in greenhouse, a non-linear differential model for the air temperature in the greenhouse was constructed. The corresponding fuzzy control system for greenhouse temperature was established by using ANFIS tools of MATLAB, including the choosing of variables, definition of fuzzy sets, quantification of the domain, choosing of membership functions and controller training. After the combination between controller and the controlled object by Simulink, simulations were carried out to analyze the performance of the system. The simulation results testify the validity and reasonability of the fuzzy control strategy for the temperature control in the greenhouse, and the achievement has certain reference value for the development in intelligent control of the greenhouse microclimate.
引用
收藏
页码：216 / 221
页数：5
相关论文
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