Control system based on fuzzy logic in nutmeg oil distillation process for energy optimization

Syamsul, R. Syahputra, Suherman
{"title":"Control system based on fuzzy logic in nutmeg oil distillation process for energy optimization","authors":"Syamsul, R. Syahputra, Suherman","doi":"10.1109/ICOIACT.2018.8350698","DOIUrl":null,"url":null,"abstract":"This research is the application of control in distillation process of nutmeg oil. The control system is based on fuzzy logic, with two main parameters namely temperature and vapor pressure. Temperature settings in the range 90–120 °C. Steam pressure setting in 1–2.5 atmospheres range. The most optimal value of the fuzzy logic simulation is embedded in the micro controller to regulate the position of the gas flow valve. The experiments were carried out on distillation system by water and steam distillation boiler method. The fuel used in refining boilers is gas fuel. The capacity of the distillation system is 25 kg of dry nutmeg. Test results by applying controls without fuzzy logic and with fuzzy logic. From testing for 16 hours distillation system by applying fuzzy logic based control can optimize gas fuel energy by 20.3%.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"200 1","pages":"679-683"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Information and Communications Technology (ICOIACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOIACT.2018.8350698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This research is the application of control in distillation process of nutmeg oil. The control system is based on fuzzy logic, with two main parameters namely temperature and vapor pressure. Temperature settings in the range 90–120 °C. Steam pressure setting in 1–2.5 atmospheres range. The most optimal value of the fuzzy logic simulation is embedded in the micro controller to regulate the position of the gas flow valve. The experiments were carried out on distillation system by water and steam distillation boiler method. The fuel used in refining boilers is gas fuel. The capacity of the distillation system is 25 kg of dry nutmeg. Test results by applying controls without fuzzy logic and with fuzzy logic. From testing for 16 hours distillation system by applying fuzzy logic based control can optimize gas fuel energy by 20.3%.
基于模糊逻辑的肉豆蔻油蒸馏过程能量优化控制系统
本研究是控制技术在肉豆蔻油蒸馏过程中的应用。控制系统基于模糊逻辑,主要参数为温度和蒸汽压。温度设置范围在90-120°C。蒸汽压力设置在1-2.5个大气压范围内。在微控制器中嵌入模糊逻辑仿真的最优值来调节气体流量阀的位置。采用水蒸馏法和蒸汽蒸馏法对蒸馏系统进行了试验。精炼锅炉使用的燃料是燃气燃料。蒸馏系统的容量为25公斤干肉豆蔻。采用不带模糊逻辑控制和带模糊逻辑控制的测试结果。通过对16小时蒸馏系统的测试,采用基于模糊逻辑的控制,可使燃气燃料能量优化20.3%。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信