{"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%.