PI-type Fuzzy Controller Tuning by Membership Functions Parameters Determination Using Geometric Series Models for Coordinated Integrated Assessment in Decision-Making Problems
{"title":"PI-type Fuzzy Controller Tuning by Membership Functions Parameters Determination Using Geometric Series Models for Coordinated Integrated Assessment in Decision-Making Problems","authors":"A. Kopoteva","doi":"10.14529/ctcr200302","DOIUrl":null,"url":null,"abstract":"parameters has five terms. By projecting the subsidiary linguistic variables gained earlier on each parameter range we obtain eleven different types of PI-type fuzzy controller tunings. They then were applied for time delay technological object controlling, seven of which proved to be functioning. Results. Comparison of functioning fuzzy controllers’ transient processes with corresponding ordinary PI-controller transient process allowed us to determine that all seven PI-type fuzzy controllers’ quality criteria values are much better that those of ordinary PI-controller. Conclusion. Our research showed that usage of geometric series can be an effective and easy way to obtain fuzzy controllers tunings of satisfactory quality.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14529/ctcr200302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
parameters has five terms. By projecting the subsidiary linguistic variables gained earlier on each parameter range we obtain eleven different types of PI-type fuzzy controller tunings. They then were applied for time delay technological object controlling, seven of which proved to be functioning. Results. Comparison of functioning fuzzy controllers’ transient processes with corresponding ordinary PI-controller transient process allowed us to determine that all seven PI-type fuzzy controllers’ quality criteria values are much better that those of ordinary PI-controller. Conclusion. Our research showed that usage of geometric series can be an effective and easy way to obtain fuzzy controllers tunings of satisfactory quality.