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PREDICTIVE CONTROL OF GREENHOUSE TEMPERATURE BASED ON MIXED LOGICAL DYNAMICAL SYSTEMS

文献类型： 外文期刊

作者： Qin, Linlin 1 ; Shi, Chun 1 ; Ling, Qing 1 ; Wu, Gang 1 ; Wang, Jun 2 ; Qiao, Xiaojun 3 ;

作者机构： 1.Univ Sci & Technol China, Dept Automat, Hefei 230027, Anhui Province, Peoples R China

2.Hefei Univ, Machine Vis & Intelligence Control Technol Key La, Hefei 230022, Anhui, Peoples R China

3.Natl Engn Res Ctr Informat Technol Agr, Beijing 100089, Peoples R China

关键词： air temperature system; greenhouse; hybrid systems; mixed logical dynamical (MLD) systems; model predictive Control (MPC)

期刊名称：INTELLIGENT AUTOMATION AND SOFT COMPUTING （ 影响因子：1.647； 五年影响因子：1.469 ）

ISSN： 1079-8587

年卷期： 2010 年 16 卷 6 期

页码：

收录情况： SCI

摘要： Most of the greenhouse climate control equipments in China are on-off control and without displacement feedback. Therefore, modeling and control theories based on continuous control devices are not applicable. On the other hand, conventional on-off control algorithms require frequent switch actions of equipments, which leads to equipment spoilage and energy waste. To address these issues, this paper proposes to control greenhouse climate using a hybrid system approach. Considering the interactive dynamics between the actions of ventilation window and the output of the control system (temperature) according to the value of inside temperature and operational constrains, the ventilation window temperature system in a greenhouse can be regarded as a hybrid dynamical systems. In addition to building models of greenhouse temperature, a model predictive control (MPC) algorithm of greenhouse air temperature is proposed for the mixed logical dynamical system. Experiment results in a greenhouse prove the effectiveness of our modeling and control algorithms.

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