{"title":"An Intelligent Fuzzy Logic Controller For One-dimension Motion Control","authors":"C. M. Dimitriadis, J. Lygouras, P.G. Tsalides","doi":"10.1109/NNAT.1993.586064","DOIUrl":null,"url":null,"abstract":"The implementation of a fuzzy logic controller for I-D motion control is presentred in this paper. Two difSerent control schemes are described. The first one uses a pure fuuy controller, its output being the control signal for the system. The 7x7 fuzzy matrix assigns the controller output with respect t(o the error value and its derivative. The control curve of the system was produced based on the knowledge derived from the observation of the behaviour of the real system. The second scheme and the most interesting one, is described as a two level controller. The lower level consists of a conventional PID controller, whereas the higher level consits of the fuzzy controller acting over the parameters of the lower level controller. A variety of input signals have been applied fo the system with very satisfactory responses. Furthermore, the simulation results are in very good agreement with those obtained experimentally.","PeriodicalId":164805,"journal":{"name":"Workshop on Neural Network Applications and Tools","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Neural Network Applications and Tools","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NNAT.1993.586064","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 implementation of a fuzzy logic controller for I-D motion control is presentred in this paper. Two difSerent control schemes are described. The first one uses a pure fuuy controller, its output being the control signal for the system. The 7x7 fuzzy matrix assigns the controller output with respect t(o the error value and its derivative. The control curve of the system was produced based on the knowledge derived from the observation of the behaviour of the real system. The second scheme and the most interesting one, is described as a two level controller. The lower level consists of a conventional PID controller, whereas the higher level consits of the fuzzy controller acting over the parameters of the lower level controller. A variety of input signals have been applied fo the system with very satisfactory responses. Furthermore, the simulation results are in very good agreement with those obtained experimentally.