{"title":"液位过程的自组织模糊逻辑控制","authors":"S. Sundaramoorthy, N. R. Neelakantan, C. D. Rao","doi":"10.23919/ACC.1993.4793046","DOIUrl":null,"url":null,"abstract":"This paper deals with the real time implementation of Fuzzy logic controllers on a liquid level control system. By applying fuzzy logic controller based on two different rule sets, it is shown that the selection of proper rules is critical for acheiving good system performance. The ability of the Self-organising fuzzy logic controller(SOFLC) to learn and modify a crude set of rules to acheive a good performance is demonstrated. The SOFLC algorithm used in this work needs less computation time and hence suitable for real time control applications.","PeriodicalId":162700,"journal":{"name":"1993 American Control Conference","volume":"118 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Self-Organising Fuzzy Logic Control of a Liquid Level Process\",\"authors\":\"S. Sundaramoorthy, N. R. Neelakantan, C. D. Rao\",\"doi\":\"10.23919/ACC.1993.4793046\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the real time implementation of Fuzzy logic controllers on a liquid level control system. By applying fuzzy logic controller based on two different rule sets, it is shown that the selection of proper rules is critical for acheiving good system performance. The ability of the Self-organising fuzzy logic controller(SOFLC) to learn and modify a crude set of rules to acheive a good performance is demonstrated. The SOFLC algorithm used in this work needs less computation time and hence suitable for real time control applications.\",\"PeriodicalId\":162700,\"journal\":{\"name\":\"1993 American Control Conference\",\"volume\":\"118 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1993 American Control Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ACC.1993.4793046\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1993 American Control Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC.1993.4793046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Self-Organising Fuzzy Logic Control of a Liquid Level Process
This paper deals with the real time implementation of Fuzzy logic controllers on a liquid level control system. By applying fuzzy logic controller based on two different rule sets, it is shown that the selection of proper rules is critical for acheiving good system performance. The ability of the Self-organising fuzzy logic controller(SOFLC) to learn and modify a crude set of rules to acheive a good performance is demonstrated. The SOFLC algorithm used in this work needs less computation time and hence suitable for real time control applications.