实验温室温度系统混杂控制器设计与分析

doi:10.3969/j.issn.0253-2778.2015.04.002

中国科学技术大学学报 ›› 2015, Vol. 45 ›› Issue (4): 268-274.DOI: 10.3969/j.issn.0253-2778.2015.04.002

• 论著 • 上一篇

实验温室温度系统混杂控制器设计与分析

储著东，秦琳琳，陆林箭，马国旗，吴刚

中国科学技术大学自动化系，安徽合肥 230027

收稿日期:2014-07-23 修回日期:2014-12-03 接受日期:2014-12-03 出版日期:2014-12-03 发布日期:2014-12-03
通讯作者: 秦琳琳
作者简介:储著东，男，1989年生，硕士生.研究方向:现代温室建模与控制.E-mail: chu123@mail.ustc.edu.cn
基金资助:
国家自然科学基金(31000672),中央高校基本科研业务费专项资金（WK2100100024）资助.

Hybrid controller design and analysis for experimental greenhouse temperature system

CHU Zhudong, QIN Linlin, LU Linjian, MA Guoqi, WU Gang

Department of Automation, University of Science and Technology of China, Hefei 230027, China

Received:2014-07-23 Revised:2014-12-03 Accepted:2014-12-03 Online:2014-12-03 Published:2014-12-03

摘要/Abstract

摘要： 温室环境调控系统是一类具有离散设备控制和连续环境因子输入输出的混杂系统.传统温室控制算法大都没有考虑温室的混杂特性，采用系统建模与古典或现代控制算法控制温室环境系统，缺乏对中国温室实际情况设计控制器和分析系统的混杂特性.为此基于混杂自动机理论，结合实验温室的降温设备，设计了夏季温度混杂控制器，并分析其执行的非阻塞性和确定性.春季和夏季实验表明，该控制器能根据设定值合理及时地切换控制设备状态.此外，建立了夏季和冬季两种典型模式的控制器框架，通过分析2013年夏季至2014年夏季温室内日最低温度，得到切换两种模式的参考时间设定值，为实现温室周年连续控制提供设定参数，对实际生产控制具有指导意义.

关键词: 温室温度, 混杂自动机, 混杂控制器, 时间设定值

Abstract: Due to the interaction between discrete on-off controls and continuous environmental factors, greenhouse temperature control systems can be regarded as a class of hybrid system. Most previous greenhouse control algorithms rely on an exquisite system model and classical or modern control theories, and fail to consider the actual conditions of greenhouses in China in their design of a controller and their system anaysis does not include the hybrid properties of the greenhouse. Based directly on the hybrid automata theory, a hybrid controller was designed for controlling the temperatures of experimental greenhouse in summer. The controller was shown to be non-blocking and deterministic in hybrid automata theory framework. Experiments were performed in the spring and summer of 2014, and the controller behaved reasonably and timely when events triggered state transitions. Further more, a controller framework containing two typical hybrid controller modes was established for winter and summer to meet the needs of continuous control all year round. And the referential time points for mode transitions were obtained by analyzing daily lowest temperaturs from 2013 to 2014.

Key words: greenhouse temperature, hybrid automata, hybrid controller, time set point value

中图分类号:

储著东，秦琳琳，陆林箭，马国旗，吴刚. 实验温室温度系统混杂控制器设计与分析[J]. 中国科学技术大学学报, 2015, 45(4): 268-274.

CHU Zhudong, QIN Linlin, LU Linjian, MA Guoqi, WU Gang. Hybrid controller design and analysis for experimental greenhouse temperature system[J]. Journal of University of Science and Technology of China, 2015, 45(4): 268-274.

参考文献

［1］ Chen L J, Zhang H R, Du S F. Greenhouse temperature control system based on fuzzy theory[C]// Proceedings of the 2013 3rd International Conference on Instrumentation, Measurement, Computer, Communication and Control. Shenyang, China: IEEE Press, 2013:1673-1677.
[2] Duro B, Joyce A, Mendes J F. Optimization of a seasonal storage solar system using genetic algorithms [J].Solar Energy, 2014, 101: 160-166.
[3] Xu Z T, Yao Z Y, Chen L J, et al. Greenhouse air temperature predictive control using the dynamic matrix control[C]// 2013 4rth International Conference on Intelligent Control and Information Processing. Beijing, China: IEEE Press, 2013: 349-353.
[4] Fathi Fourati. Multiple neural control of a greenhouse [J]. Neurocomputing, 2014, 139:138-144.
[5] Wang Ziyang, Qin Linlin, Wu Gang, et al. Modeling of greenhouse temperature-humid system and model predictive control based on switching system control [J]. Transactions of the CSAE, 2008, 24(7):188-192.
王子洋,秦琳琳,吴刚,等.基于切换控制的温室温湿度控制系统建模与预测控制[J].农业工程学报, 2008, 24(7):188-192.
[6] Alur R, Courcoubetis C, Halbwachs N, et al. The algorithmic analysis of hybrid systems[J]. Theoretical Computer Science, 1995, 138(1): 3-34.
[7] Antsaklis P J. Special issue on hybrid control systems: Theory and applications a brief introduction to the theory and applications of hybrid systems[J]. Proceedings of the IEEE, 2000, 88(7):879-887.
[8] Campagna D, Piazza C. Hybrid automata in Systems biology: How far can we go?[J]. Theoretical Computer Science, 2008, 229(1):93-108
[9] Rajaoarisoa L H, M’Sirdi N K, Balmat J. Micro-climate optimal control for an experimental greenhouse automation[C]// 2012 2nd International Conference on Communications, Computing and Control Applications. Marseilles, France: IEEE Press, 2012: 1-6.
[10] Yang B, Qin L L, Wu G. Modeling and control for greenhouse temperature system based on hybrid automata[C]// 30th Chinese Control Conference, Yanta,China: IEEE Press, 2011: 1627-1631.
阳斌,秦琳琳,吴刚.基于混杂自动机的温室温度系统建模与控制[C]//中国自动化学会控制理论专业委员D卷. 烟台, 2011:1627-1631.
[11] Lygeros J. Hierarchical hybrid control of large scale systems [D].Department of Electrical Engineering, University of California, Berkeley, 1996.
[12] Lygeros J, Johansson K H, Simic′ S N, et al. Dynamical properties of hybrid automata[J]. IEEE Transactions on automatic control, 2003, 48(1): 2-17.
[13] Lou J H. Effect of temperature, light and media on growth of phalaenopsis[J]. Acta Agriculturae Zhejiangensis, 1995, 7 (6): 464-467.
楼建华. 温度、光照及栽培基质对蝴蝶兰生长发育的影响[J]. 浙江农业学报, 1995, 7(6): 464- 467.
[14] Abate A, Prandini M, Lygeros L, et al. Probabilistic reachability and safety for controlled discrete time stochastic hybrid systems[J]. Automatica, 2008, 44(11): 2724-2734.
[15] Ma L L, Ji J W, He C X. The study of greenhouse temperature modeling based on fuzzyneural network[C]// 2010 International Conferenceon E-Product E-Service and E-Entertainment. Henan, China: IEEE Press, 2010: 1- 4.
[16] Li J, Qin L L, Yue D Z, et al. Experiment greenhouse temperature system modeling and simulation[J]. Journal of System Simulation, 2008, 20(7): 1869-1875.
李晋,秦琳琳,岳大志,等.试验温室温度系统建模与仿真[J].系统仿真学报, 2008, 20(7): 1869-1875.
[17] Qu Y, Ning D, Lai Z C, et al. Neural networks based on PID control for greenhouse temperature[J]. Transactions of the CSAE, 2011, 27(2), 307-311.
屈毅,宁铎,赖展翅,等.温室温度控制系统的神经网络PID控制[J]. 农业工程学报, 2011, 27(2): 307-311.

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实验温室温度系统混杂控制器设计与分析

Hybrid controller design and analysis for experimental greenhouse temperature system

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