C. von Altrock, H.-O. Arend, B. Krausse, C. Steffens
{"title":"Customer-adaptive fuzzy logic control of home heating system","authors":"C. von Altrock, H.-O. Arend, B. Krausse, C. Steffens","doi":"10.1109/FUZZY.1994.343569","DOIUrl":null,"url":null,"abstract":"To maximize both heating economy and comfort of a private home heating system, fuzzy logic control has been used by a German company in a new generation of furnace controllers. The fuzzy logic controller ensures optimal adaptation to changing customer heating demands while using one sensor less than the former generation. Both the fuzzy logic controller and the conventional control system were implemented on a standard g-bit microcontroller. The design, optimization and implementation of the fuzzy controller was supported by the software development system fuzzyTECH.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1994.343569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
To maximize both heating economy and comfort of a private home heating system, fuzzy logic control has been used by a German company in a new generation of furnace controllers. The fuzzy logic controller ensures optimal adaptation to changing customer heating demands while using one sensor less than the former generation. Both the fuzzy logic controller and the conventional control system were implemented on a standard g-bit microcontroller. The design, optimization and implementation of the fuzzy controller was supported by the software development system fuzzyTECH.<>