{"title":"Delta Domain Design of Low-Cost Fuzzy Controlled Servosystems","authors":"R. Precup, Z. Preitl, E. Petriu","doi":"10.1109/WISP.2007.4447588","DOIUrl":null,"url":null,"abstract":"The paper presents a new design method for low-cost fuzzy control systems used in mechatronics, characterized by second-order dynamics of integral type, controlled by two-degree-of-freedom Pi-fuzzy controllers. The method, referred to as delta domain design, consists of three design steps based on continuous-time linear case design results expressed in terms of the Extended Symmetrical Optimum method applied in the delta domain, followed by the transfer of these results to the fuzzy case. The new design method and Mamdani Pi-fuzzy controllers are validated by real-time experiments in controlling a nonlinear servosystem.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Symposium on Intelligent Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISP.2007.4447588","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The paper presents a new design method for low-cost fuzzy control systems used in mechatronics, characterized by second-order dynamics of integral type, controlled by two-degree-of-freedom Pi-fuzzy controllers. The method, referred to as delta domain design, consists of three design steps based on continuous-time linear case design results expressed in terms of the Extended Symmetrical Optimum method applied in the delta domain, followed by the transfer of these results to the fuzzy case. The new design method and Mamdani Pi-fuzzy controllers are validated by real-time experiments in controlling a nonlinear servosystem.