温室环境控制方法研究  

Research of Greenhouse Environment Control Methods

作　　者：聂海强[1] 

机构地区：[1]同济大学

出　　处：《电子世界》2013年第22期107-109,共3页Electronics World

基　　金：国家自然科学基金项目(项目编号:61174090)

摘　　要：针对温室环境控制的重要性,对国内外温室环境控制的方法进行了研究,分析了温室控制系统算法的特点。温室环境控制的方法主要有:PID,专家系统,模糊控制,神经网络,进化算法等。各种控制算法各有优缺点,单一的采用某种控制算法不能满足温室环境控制的精度要求。将多种控制算法交叉与融合的混合控制算法更能满足现代温室环境智能控制的要求或寻求新的鲁棒控制新方法。同时指出了目前温室环境控制中存在的问题,并对温室环境控制的发展趋势进行了展望。Aiming at the importance of environment control technology in greenhouse, this paper summarized the research status on the development of greenhouse environment control methods at home and abroad, and analyzed the features and structures of greenhouse control systems.The main methods of greenhouse environmental control include PID, Expert System, Fuzzy Control, Neural Network, Evolutionary Algorithm and so on.Each control algorithm has its own advantages and disadvantages, the adoption of a single control algorithm can not satisfy the precision requirements of the environmeratal control of the greenhouse.Hybrid control algorithm that combined different algorithms can meet the control demands of modem greenhouse environment intelligent control well or to seek new robust control method.Their drawbacks were pointed out, and the development tendency of greenhouse environment control was expected too.

关 键 词：温室 环境控制 智能控制 遗传算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]