{"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}
引用次数: 4
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.<>