基于智能温控算法的温室管理系统  

The Greenhouse Management System Based on Intelligent Temperature Control Algorithm

作　　者：傅以盘 肖振兴[1] Fu Yipan;Xiao Zhenxing(Liuzhou Railway Vocational Technical College, Liuzhou 545616, China)

机构地区：[1]柳州铁道职业技术学院,广西柳州545616

出　　处：《农机化研究》2022年第6期214-218,共5页Journal of Agricultural Mechanization Research

基　　金：广西高校中青年教师科研基础能力提升项目(2020KY44008)。

摘　　要：为了适应作物生长需求,需要对大棚温度进行精确控制。首先,建立包含多种环境因素的大棚温度模型;其次,采用模糊PID控制方法,建立了高精度的温度控制方法。综合考虑温室外环境温度、风速、太阳照射强度和室内湿度等因素,采用ARX方法建立温度模型。采用模糊PID控制方法,以温度变化量及其变化率为输入,PID调节量为系统输出,对温度PID控制器进行调节,响应时间6s。对温度模型预测精度和温度控制精度进行测试,结果表明:温度模型预测值与真实值误差在7.5%以下,大棚温度理论值20℃,控制变化区间为[18.8,21]。In order to achieve crop growth demand,it is necessary to control greenhouse temperature accurately.Firstly,the model of greenhouse temperature was achieved,which Integrated multiple environmental factors.Secondly,high precision temperature control was founded by fuzzy PID control.The model for greenhouse temperature was achieved by ARX,which Integrated temperature outside greenhouse,wind speed,solar irradiance intensity and indoor humidity.Fuzzy PID control system was achieved,as temperature variation and temperature change rate were taken as system input.The response time was 6s.Prediction accuracy of temperature model and temperature control accuracy were tested,the result showed that the error was less than 7.5%between predicted value of temperature model and true value,and the range of control was[18.8,21],as theoretical value of greenhouse temperature was 20℃.

关 键 词：温室管理系统 温度控制 PID模糊控制 多因素温度模型 

分 类 号：S625.5[农业科学—园艺学]