Leighton Ira Davis, T. Sieja, R. W. Matteson, G. A. Dage, R. Ames
{"title":"汽车气候控制的模糊逻辑","authors":"Leighton Ira Davis, T. Sieja, R. W. Matteson, G. A. Dage, R. Ames","doi":"10.1109/FUZZY.1994.343729","DOIUrl":null,"url":null,"abstract":"Typical automobile automatic climate control systems use linear proportional control to maintain a comfortable interior environment. In the process of refining these systems, we have found two significant limitations of linear proportional control when viewed from the standpoint of an occupant's subjective comfort: 1) there are certain control situations in any HVAC (Heating, Ventilation, and Air Conditioning) system that are inherently nonlinear; and 2) it is not possible to realize occupant comfort merely by maintaining proximity to a desired temperature. In this paper, we describe a fuzzy logic control system which addresses these limitations by including rules that provide nonlinear compensation, and by allowing the control to be expressed in the same heuristic terms that an occupant would use in describing the level of comfort.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"Fuzzy logic for vehicle climate control\",\"authors\":\"Leighton Ira Davis, T. Sieja, R. W. Matteson, G. A. Dage, R. Ames\",\"doi\":\"10.1109/FUZZY.1994.343729\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Typical automobile automatic climate control systems use linear proportional control to maintain a comfortable interior environment. In the process of refining these systems, we have found two significant limitations of linear proportional control when viewed from the standpoint of an occupant's subjective comfort: 1) there are certain control situations in any HVAC (Heating, Ventilation, and Air Conditioning) system that are inherently nonlinear; and 2) it is not possible to realize occupant comfort merely by maintaining proximity to a desired temperature. In this paper, we describe a fuzzy logic control system which addresses these limitations by including rules that provide nonlinear compensation, and by allowing the control to be expressed in the same heuristic terms that an occupant would use in describing the level of comfort.<<ETX>>\",\"PeriodicalId\":153967,\"journal\":{\"name\":\"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"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.1994.343729\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1994.343729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Typical automobile automatic climate control systems use linear proportional control to maintain a comfortable interior environment. In the process of refining these systems, we have found two significant limitations of linear proportional control when viewed from the standpoint of an occupant's subjective comfort: 1) there are certain control situations in any HVAC (Heating, Ventilation, and Air Conditioning) system that are inherently nonlinear; and 2) it is not possible to realize occupant comfort merely by maintaining proximity to a desired temperature. In this paper, we describe a fuzzy logic control system which addresses these limitations by including rules that provide nonlinear compensation, and by allowing the control to be expressed in the same heuristic terms that an occupant would use in describing the level of comfort.<>
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