{"title":"General Principals of Building the Fizzy Multi-Cascade Tracking Control Systems","authors":"S. Cherniy, V. Solovyev","doi":"10.1109/FAREASTCON.2018.8602646","DOIUrl":null,"url":null,"abstract":"A special feature of tracking control system is to ensure the accuracy of the control set in dynamic modes. The presence of non-linearities in the control object, in the system drives, and especially the non-stationarity of the parameters of the system as a whole makes it difficult to achieve the desired quality indicators using standard classical control algorithms. The paper deals with a new approach to the implementation of fuzzy servo control systems. At the same time, a special emphasis is placed on building the tracking control system. This principle of building an intelligent system not only expands the functionality in the implementation of corrective control action, but also makes it possible to provide self-adjustment of the controller under the selected optimization criteria. This approach is considered on an example of the tracking system model on the basis of the DC electric drive at working off difficult in form of changing signal.","PeriodicalId":177690,"journal":{"name":"2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)","volume":"97 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.2018.8602646","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
A special feature of tracking control system is to ensure the accuracy of the control set in dynamic modes. The presence of non-linearities in the control object, in the system drives, and especially the non-stationarity of the parameters of the system as a whole makes it difficult to achieve the desired quality indicators using standard classical control algorithms. The paper deals with a new approach to the implementation of fuzzy servo control systems. At the same time, a special emphasis is placed on building the tracking control system. This principle of building an intelligent system not only expands the functionality in the implementation of corrective control action, but also makes it possible to provide self-adjustment of the controller under the selected optimization criteria. This approach is considered on an example of the tracking system model on the basis of the DC electric drive at working off difficult in form of changing signal.