| 基于LabVIEW的温室大棚温、湿度解耦模糊控制监测系统设计与实现 |
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| 引用本文： | 卢佩,刘效勇.基于LabVIEW的温室大棚温、湿度解耦模糊控制监测系统设计与实现[J].山东农业大学学报(自然科学版),2012,43(1):124-128. |
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| 作者姓名： | 卢佩 刘效勇 |
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| 作者单位： | 1. 石河子大学信息科学与技术学院,新疆石河子832000;中国科学院光电技术研究所,四川成都610209
2. 石河子大学数理学院,新疆石河子,832000 |
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| 摘 要： | 温室环境系统是一个多变量、非线性、时变和滞后的系统,各变量之间具有耦合关系,很难建立精确数学模型。其中,温度和湿度的变化是最基本因子,对作物影响最为显著。为此,系统通过有限状态机机制,调用Lab-VIEW中PID Control Toolkit下的Fuzzy Controller子VI,采用模糊控制策略,建立模糊控制系统模型并设计模糊控制器,引入解耦参数,实现了系统温、湿度解耦控制。相对于温、湿度单独控制,系统监测精度有所提高。当温、湿度分别为27.5℃和55%时,结果表明该系统温、湿度变化超调量较小,模糊控制过程较平稳,达到了作物生长环境需求。
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| 关 键 词： | LabVIEW 解耦 模糊控制 隶属函数 |
DESIGN ON FUZZY DECOUPLING CONTROL SYSTEM OF TEMPERATURE AND HUMIDITY FOR GREENHOUSE BASED ON LABVIEW |
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| LU Pei,LIU Xiao-yong.DESIGN ON FUZZY DECOUPLING CONTROL SYSTEM OF TEMPERATURE AND HUMIDITY FOR GREENHOUSE BASED ON LABVIEW[J].Journal of Shandong Agricultural University,2012,43(1):124-128. |
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| Authors: | LU Pei LIU Xiao-yong |
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| Institution: | 1.School of Information Science and Technology,Shihezi University Xinjiang,Shihezi 832000,China;2.Chinese Academy of Sciences,Institute of Optics and Electronics,Chengdu 610209,China;3.School of Mathematics and Physics,Shihezi University Xinjiang,Shihezi 832000,China) |
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| Abstract: | It is a multivariable,non-linearity,time-variation and hysteretic system and there are coupling relations between every variable in greenhouse system,which is very difficult to establish precise mathematic model.What’s more,the changes of temperature and humidity are the most basic factor and are the most significant impact to the crops’ growing.So,with the Finite State Machine and the Fuzzy Controller VI of PID Control Toolkit,temperature and humidity decoupling control system was implemented through establishing fuzzy control model,introducing the decoupling parameters and designing fuzzy controller.The accuracy of this system was improved compared with temperature and humidity independent control system.The result showed that temperature and humidity changed in a smaller overshoot when they were 27.5℃ and 55% respectively,the fuzzy control process was relatively stable and the system got a reasonable environment for crop growth. |
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| Keywords: | LabVIEW decoupling fuzzy control membership function |
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