{"title":"Fuzzy Multi-Cascade AC Drive Control System","authors":"S. Cherniy, A. S. Gudim, A. Buzikayeva","doi":"10.1109/FAREASTCON.2018.8602930","DOIUrl":null,"url":null,"abstract":"The paper represents the model of AC drive control system. An analysis of conventional drive control system has been performed, its advantages and disadvantages, and preconditions for use of intelligent approaches for implementation of control systems for this kind of objects have been estimated. The intelligent system is supposed to be modeled with use of fuzzy logic controller and different inference algorithms for implementation of control laws in various control loops. Dynamic characteristics of the system both for conventional case and with use of controllers based on fuzzy set theory have been analyzed. The practicability of using the multi-cascade fuzzy systems while implementation of unified intelligent control module and different combinations of fuzzy inference algorithms has been demonstrated for complex drive systems. Application of this technology allows implementation of control system for the entire class of drive systems considering all special aspects and relationships between the coordinates in the complex control object. Additionally, modeling of spacial membership function using multi-cascade fuzzy controller will give a possibility to avoid a variety of quantitative and qualitative restrictions due to complex relations between the coordinate in such systems.","PeriodicalId":177690,"journal":{"name":"2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FAREASTCON.2018.8602930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The paper represents the model of AC drive control system. An analysis of conventional drive control system has been performed, its advantages and disadvantages, and preconditions for use of intelligent approaches for implementation of control systems for this kind of objects have been estimated. The intelligent system is supposed to be modeled with use of fuzzy logic controller and different inference algorithms for implementation of control laws in various control loops. Dynamic characteristics of the system both for conventional case and with use of controllers based on fuzzy set theory have been analyzed. The practicability of using the multi-cascade fuzzy systems while implementation of unified intelligent control module and different combinations of fuzzy inference algorithms has been demonstrated for complex drive systems. Application of this technology allows implementation of control system for the entire class of drive systems considering all special aspects and relationships between the coordinates in the complex control object. Additionally, modeling of spacial membership function using multi-cascade fuzzy controller will give a possibility to avoid a variety of quantitative and qualitative restrictions due to complex relations between the coordinate in such systems.