Y. Kudinov, A. Kelina, A. Pashchenko, F. Pashchenko
{"title":"工业设备智能模糊控制器的优化","authors":"Y. Kudinov, A. Kelina, A. Pashchenko, F. Pashchenko","doi":"10.1109/ICAICT.2014.7035988","DOIUrl":null,"url":null,"abstract":"Classical linear controllers often do not provide required quality of control of real, mostly nonlinear industrial facilities. Under these conditions, high efficiency show fuzzy PID controllers and their modifications, which, by appropriate choice of parameters, can become nonlinear and better suited for the control of nonlinear industrial facilities. In this paper we propose a simplified method for determining the optimal parameters of fuzzy PD controller with the use of MATLAB and the method of fuzzy linearization discussed in [1, 2, 3].","PeriodicalId":103329,"journal":{"name":"2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Optimization of intelligent fuzzy controllers for industrial facilities\",\"authors\":\"Y. Kudinov, A. Kelina, A. Pashchenko, F. Pashchenko\",\"doi\":\"10.1109/ICAICT.2014.7035988\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Classical linear controllers often do not provide required quality of control of real, mostly nonlinear industrial facilities. Under these conditions, high efficiency show fuzzy PID controllers and their modifications, which, by appropriate choice of parameters, can become nonlinear and better suited for the control of nonlinear industrial facilities. In this paper we propose a simplified method for determining the optimal parameters of fuzzy PD controller with the use of MATLAB and the method of fuzzy linearization discussed in [1, 2, 3].\",\"PeriodicalId\":103329,\"journal\":{\"name\":\"2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAICT.2014.7035988\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICT.2014.7035988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of intelligent fuzzy controllers for industrial facilities
Classical linear controllers often do not provide required quality of control of real, mostly nonlinear industrial facilities. Under these conditions, high efficiency show fuzzy PID controllers and their modifications, which, by appropriate choice of parameters, can become nonlinear and better suited for the control of nonlinear industrial facilities. In this paper we propose a simplified method for determining the optimal parameters of fuzzy PD controller with the use of MATLAB and the method of fuzzy linearization discussed in [1, 2, 3].