Modeling and Simulation of Greenhouse Temperature Hybrid System Based on ARMAX Model

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• 英文论文题名：Modeling and Simulation of Greenhouse Temperature Hybrid System Based on ARMAX Model
• 论文作者：Zheng Hui ; Qin Lin-lin ; Wu Gang
• 英文论文作者：Zheng Hui ; Qin Lin-lin ; Wu Gang ; Department of automation ; University of Science and Technology of China
• 年：2017
• 作者机构：Department of automation,University of Science and Technology of China;
• 英文论文关键词：greenhouse temperature system ; multi-input single-output ; hybrid system ; ARMAX ; fading memory recursive least squares
• 会议召开时间：2017-07-26
• 会议录名称：第36届中国控制会议论文集（B）
• 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
• 语种：英文
• 分类号：S625;TP391.9
• 学会代码：KZLL
• 会议名称：第36届中国控制会议
• 会议地点：中国辽宁大连
• 主办单位：中国自动化学会控制理论专业委员会
• 学会名称：中国自动化学会控制理论专业委员会
• 页数：5
• 文件大小：341k
• 原文格式：D
• 会议级别：全国

摘要

Modern greenhouse creates suitable crop growth conditions through changing inside temperature, humidity, solar radiation, concentration of carbon dioxide and other environmental factors to raise production and increase economic benefits.The greenhouse microclimate environment model can not only simulate the behavior of a system well but also design the inside controller suitably to be applied to the greenhouse production. The temperature system in a greenhouse microclimate environment can be regarded as a multi-input single-output hybrid system. In this paper, the system was described by Auto Regressive Moving Average model with e Xternal inputs(ARMAX). The test data were analyzed for the correlation of input variables and output variable. Then, by means of fading memory recursive least squares, the parameters of the model were identified. Finally, the model was simulated and tested. The actual values were fitted by simulation values and the fitting degree reached 0.91 which showed the model was effective.
Modern greenhouse creates suitable crop growth conditions through changing inside temperature, humidity, solar radiation, concentration of carbon dioxide and other environmental factors to raise production and increase economic benefits.The greenhouse microclimate environment model can not only simulate the behavior of a system well but also design the inside controller suitably to be applied to the greenhouse production. The temperature system in a greenhouse microclimate environment can be regarded as a multi-input single-output hybrid system. In this paper, the system was described by Auto Regressive Moving Average model with e Xternal inputs(ARMAX). The test data were analyzed for the correlation of input variables and output variable. Then, by means of fading memory recursive least squares, the parameters of the model were identified. Finally, the model was simulated and tested. The actual values were fitted by simulation values and the fitting degree reached 0.91 which showed the model was effective.

引文

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