Event-triggered control for greenhouse temperature under natural ventilation based on computational fluid dynamics

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS Systems Science & Control Engineering Pub Date : 2021-05-03 DOI:10.1080/21642583.2020.1833788
Xinyi Sun, Hua Yang, Qi-Fang Liu, Yan-Hong Liu
{"title":"Event-triggered control for greenhouse temperature under natural ventilation based on computational fluid dynamics","authors":"Xinyi Sun, Hua Yang, Qi-Fang Liu, Yan-Hong Liu","doi":"10.1080/21642583.2020.1833788","DOIUrl":null,"url":null,"abstract":"In this paper, the event-triggered control for greenhouse temperature based on Computational Fluid Dynamics (CFD) is investigated. To overcome the deficiency of sensor which can only represent the temperature value of some points inside the greenhouse, CFD technology is used to simulate and output the temperature field data of the entire greenhouse. Furthermore, in order to reduce the network resource consumption, the event-triggered mechanism is adopted in CFD simulation output-controller channel. When the greenhouse temperature meets the event-triggered condition, the simulated data is transmitted to the controller. Moreover, multi-objective particle swarm optimization (MOPSO) is used to design the controller to solve the contradiction between energy consumption and control accuracy in the control process. Finally, a numerical simulation example is provided to illustrate the effectiveness of given event-triggered scheme for greenhouse temperature under natural ventilation based on CFD simulation. The simulation results show that the control scheme given in this paper can effectively regulate the greenhouse internal temperature and meet the control requirements.","PeriodicalId":46282,"journal":{"name":"Systems Science & Control Engineering","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2021-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21642583.2020.1833788","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Systems Science & Control Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/21642583.2020.1833788","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 2

Abstract

In this paper, the event-triggered control for greenhouse temperature based on Computational Fluid Dynamics (CFD) is investigated. To overcome the deficiency of sensor which can only represent the temperature value of some points inside the greenhouse, CFD technology is used to simulate and output the temperature field data of the entire greenhouse. Furthermore, in order to reduce the network resource consumption, the event-triggered mechanism is adopted in CFD simulation output-controller channel. When the greenhouse temperature meets the event-triggered condition, the simulated data is transmitted to the controller. Moreover, multi-objective particle swarm optimization (MOPSO) is used to design the controller to solve the contradiction between energy consumption and control accuracy in the control process. Finally, a numerical simulation example is provided to illustrate the effectiveness of given event-triggered scheme for greenhouse temperature under natural ventilation based on CFD simulation. The simulation results show that the control scheme given in this paper can effectively regulate the greenhouse internal temperature and meet the control requirements.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于计算流体动力学的自然通风条件下温室温度事件触发控制
本文研究了基于计算流体动力学(CFD)的温室温度事件触发控制。为了克服传感器只能代表温室内某些点的温度值的不足,采用CFD技术模拟并输出整个温室的温度场数据。此外,为了减少网络资源消耗,CFD仿真输出控制器通道采用了事件触发机制。当温室温度满足事件触发条件时,模拟数据被传输到控制器。此外,采用多目标粒子群优化(MOPSO)设计控制器,以解决控制过程中能耗与控制精度之间的矛盾。最后,通过数值模拟实例说明了基于CFD模拟的事件触发方案对自然通风条件下温室温度的有效性。仿真结果表明,本文给出的控制方案能够有效地调节温室内部温度,满足控制要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Systems Science & Control Engineering
Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
9.50
自引率
2.40%
发文量
70
审稿时长
29 weeks
期刊介绍: Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory
期刊最新文献
MS-YOLOv5: a lightweight algorithm for strawberry ripeness detection based on deep learning Research on the operation of integrated energy microgrid based on cluster power sharing mechanism Low-frequency operation control method for medium-voltage high-capacity FC-MMC type frequency converter Customized passenger path optimization for airport connections under carbon emissions restrictions Nonlinear impact analysis of built environment on urban road traffic safety risk
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1