{"title":"Improving the quality of the steam temperature regulation in the TsKTI-100 boiler thanks to use of fuzzy adjuster","authors":"","doi":"10.36652/0869-4931-2023-77-5-199-206","DOIUrl":null,"url":null,"abstract":"The results of designing and setting up fuzzy logic adjusters for controlling the steam temperature in the CCTI-100 gas-tube boiler at Berezniki Soda Plant JSC are presented. The setting of the adjusters is made by a method based on the use of a geometric progression. The quality of management is evaluated on the grounds of direct and indirect indicators system. Comparison of their values with the corresponding quality indicators for a conventional PID adjuster showed a significant advantage of fuzzy regulation.\n\nKeywords\ntheory of automatic control, fuzzy logic, PID adjuster, fuzzy adjuster, simulation, regulation quality indicators","PeriodicalId":309803,"journal":{"name":"Automation. Modern Techologies","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation. Modern Techologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36652/0869-4931-2023-77-5-199-206","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
The results of designing and setting up fuzzy logic adjusters for controlling the steam temperature in the CCTI-100 gas-tube boiler at Berezniki Soda Plant JSC are presented. The setting of the adjusters is made by a method based on the use of a geometric progression. The quality of management is evaluated on the grounds of direct and indirect indicators system. Comparison of their values with the corresponding quality indicators for a conventional PID adjuster showed a significant advantage of fuzzy regulation.
Keywords
theory of automatic control, fuzzy logic, PID adjuster, fuzzy adjuster, simulation, regulation quality indicators
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