{"title":"Thermodynamics and Intelligent Control of a Harvesting Water System","authors":"A. Toumi, R. Boucetta, Saloua Bel Hadj Ali","doi":"10.1109/STA50679.2020.9329329","DOIUrl":null,"url":null,"abstract":"This article deals with modeling and control of an autonomous device for harvesting potable water,leading to performance improvement. The technique of agricultural greenhouse phenomenon is essentially used to determine a thermodynamic model of the harvesting water system, that is simple and realistic to design the behavior of the whole water-climatic harvest. The obtained model will be applied to develop an intelligent controller based on fuzzy logic concepts, presenting a power ful mean to optimise and facilate the climatic mangement of the device. To simulate the proposed harvest water system, climatic data of a humid and arid region us Gabes city are opted for the optimisation of state variablles favorable to condensation.","PeriodicalId":158545,"journal":{"name":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STA50679.2020.9329329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This article deals with modeling and control of an autonomous device for harvesting potable water,leading to performance improvement. The technique of agricultural greenhouse phenomenon is essentially used to determine a thermodynamic model of the harvesting water system, that is simple and realistic to design the behavior of the whole water-climatic harvest. The obtained model will be applied to develop an intelligent controller based on fuzzy logic concepts, presenting a power ful mean to optimise and facilate the climatic mangement of the device. To simulate the proposed harvest water system, climatic data of a humid and arid region us Gabes city are opted for the optimisation of state variablles favorable to condensation.