基于类别的温室温、湿度模糊解耦控制

温、湿度是影响作物生长的主要因素,耦合作用强,难以控制。通过数据挖掘,利用采集的温室内、外温度及室内湿度数据对温室状态进行分类。提出一种基于各类别中的温室温、湿度变化率相关性进行模糊解耦控制。分类别设计解耦参数和变论域模糊控制,能够减弱振动、更精确地实现温室温、湿度的控制。

Fuzzy Decoupling Control of Temperature and Humidity in Greenhouse Based on Category

Temperature and humidity as the mainly crop growing factors in greenhouse is difficult to control for its strong coupling effects. According to the collection and classification of inside and outside temperature and inside humidity, a kind of fuzzy decoupling control based on the change rate of greenhouse temperature and humidity was proposed in this paper. The accurate temperature and humidity control was achieved by designing decoupling parameters and variable universe fuzzy logic controller.