{"title":"模糊建模在发电厂发电机控制中的应用","authors":"V. Zambenedetti, S. Murakami","doi":"10.1109/TAI.1994.346495","DOIUrl":null,"url":null,"abstract":"The paper presents a fuzzy modeling of a power plant generator that is defined by a well-known set of differential equations used for transient control. Its main motivations are (1) to demonstrate the validity of the identification method based on fuzzy inference rules and (2) because a power plant has strong non-linearity and many conventional, non-fuzzy control tends to linearize it, the non-linear characteristics of fuzzy control can be useful to better describe and control this system. Results of simulations are shown.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of fuzzy modeling to power plant generator control\",\"authors\":\"V. Zambenedetti, S. Murakami\",\"doi\":\"10.1109/TAI.1994.346495\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a fuzzy modeling of a power plant generator that is defined by a well-known set of differential equations used for transient control. Its main motivations are (1) to demonstrate the validity of the identification method based on fuzzy inference rules and (2) because a power plant has strong non-linearity and many conventional, non-fuzzy control tends to linearize it, the non-linear characteristics of fuzzy control can be useful to better describe and control this system. Results of simulations are shown.<<ETX>>\",\"PeriodicalId\":262014,\"journal\":{\"name\":\"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1994.346495\",\"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 Sixth International Conference on Tools with Artificial Intelligence. TAI 94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1994.346495","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of fuzzy modeling to power plant generator control
The paper presents a fuzzy modeling of a power plant generator that is defined by a well-known set of differential equations used for transient control. Its main motivations are (1) to demonstrate the validity of the identification method based on fuzzy inference rules and (2) because a power plant has strong non-linearity and many conventional, non-fuzzy control tends to linearize it, the non-linear characteristics of fuzzy control can be useful to better describe and control this system. Results of simulations are shown.<>