{"title":"模型参考I-PD控制器采用模糊推理","authors":"T. Okayasu, T. Matsuoka, Y. Ishida","doi":"10.1109/FUZZY.1994.343728","DOIUrl":null,"url":null,"abstract":"We propose an automatic tuning method for I-PD (or PID) parameters using expert system with a rule base. The I-PD controllers based on optimal control are widely used because they have good disturbance rejection and low sensitivity. However, the effective method of auto-tuning I-PD controllers has not been presented yet. In this paper, we attempt to use fuzzy reasoning as a controller. Simulation results show that the proposed method is effective for actual plant control.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Model reference I-PD controller using fuzzy reasoning\",\"authors\":\"T. Okayasu, T. Matsuoka, Y. Ishida\",\"doi\":\"10.1109/FUZZY.1994.343728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose an automatic tuning method for I-PD (or PID) parameters using expert system with a rule base. The I-PD controllers based on optimal control are widely used because they have good disturbance rejection and low sensitivity. However, the effective method of auto-tuning I-PD controllers has not been presented yet. In this paper, we attempt to use fuzzy reasoning as a controller. Simulation results show that the proposed method is effective for actual plant control.<<ETX>>\",\"PeriodicalId\":153967,\"journal\":{\"name\":\"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"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.1994.343728\",\"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.1994.343728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Model reference I-PD controller using fuzzy reasoning
We propose an automatic tuning method for I-PD (or PID) parameters using expert system with a rule base. The I-PD controllers based on optimal control are widely used because they have good disturbance rejection and low sensitivity. However, the effective method of auto-tuning I-PD controllers has not been presented yet. In this paper, we attempt to use fuzzy reasoning as a controller. Simulation results show that the proposed method is effective for actual plant control.<>
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