基于遗传优化模糊PID算法的温室智能控制系统研究  

Research on Greenhouse Intelligent Control System Based on Genetic Algorithm and Fuzzy PID Algorithm

作　　者：张娓娓[1] 袁路路[1] 

机构地区：[1]河南工业职业技术学院,河南南阳473000

出　　处：《农机化研究》2017年第7期209-213,共5页Journal of Agricultural Mechanization Research

基　　金：河南省自然科学基金项目(2015ZCB115);南阳市科技攻关项目(2012GG029)

摘　　要：近年来,随着信息智能化和农业现代化的快速发展,我国温室种植取得了重大进展,形成了以科学方法管理控制大棚温室环境的理念;但因缺乏工厂化管理方式,温室智能控制技术在设施配套和产业自动化方面还有不足之处,与欧洲发达国家差距甚远。因此,设计一套适合我国农情的现代化温室控制系统显得非常重要,其对实时监测和精确控制温室环境参数,提高农作物产量和质量意义深远。本文根据大棚种植特点,基于遗传优化模糊PID融合算法,设计和研究了一套独有的温室智能控制系统,并对该系统进行性能仿真实验。结果表明:本温室智能控制系统性能良好、自动化程度高、节能显著,对大棚蔬菜的种植具有重要的促进作用。With the rapid development of intelligent agriculture information and modernization , it made significant pro-gress planting in greenhouse in China in recent years , which is gradually attached to the scientific method of management control of greenhouse environment philosophy .However , due to the lack of factory management , it has the gap between the developed countries in Europe and the far intelligent greenhouse control technology in the industrial automation of fa -cilities and deficiencies .Therefore ,it is very important to research and design a set of suitable for the modernization of our country agricultural greenhouse control system , the real-time monitoring and accurate control of greenhouse environ-ment parameters,to improve crop yields and far-reaching.In this paper, based on the characteristics of greenhouse culti-vation, a set of unique greenhouse intelligent control system is designed and studied based on genetic optimization fuzzy PID fusion algorithm .The results show that the intelligent control system has good performance , high automation degree and high energy saving capacity , and it plays an important role in promoting the cultivation of greenhouse vegetables .

关 键 词：遗传优化 模糊PID 融合算法 温室 智能控制 

分 类 号：S625.5[农业科学—园艺学] TP273.4[自动化与计算机技术—检测技术与自动化装置]