{"title":"时滞系统的模糊Smith控制方法研究","authors":"Wen-bo Liu, Mengxiao Wang","doi":"10.1109/IWISA.2010.5473714","DOIUrl":null,"url":null,"abstract":"To overcome the shortcomings that the control effect of conventional Smith predictor will be worse when the parameters of time delay systems change, an adaptive fuzzy Smith control method is presented in this paper. It adds a fuzzy controller in the combination of Smith predictor and PID controller. The control parameters are adjusted online by the fuzzy controller to adapt the control requirement. And the simulation study had been done for a first-order time-delay system. The results show that this method offer good static and dynamic characteristics, at the same time its disturbance-rejection and robustness are better.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"132 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Fuzzy Smith Control Method for Time Delay Systems\",\"authors\":\"Wen-bo Liu, Mengxiao Wang\",\"doi\":\"10.1109/IWISA.2010.5473714\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To overcome the shortcomings that the control effect of conventional Smith predictor will be worse when the parameters of time delay systems change, an adaptive fuzzy Smith control method is presented in this paper. It adds a fuzzy controller in the combination of Smith predictor and PID controller. The control parameters are adjusted online by the fuzzy controller to adapt the control requirement. And the simulation study had been done for a first-order time-delay system. The results show that this method offer good static and dynamic characteristics, at the same time its disturbance-rejection and robustness are better.\",\"PeriodicalId\":298764,\"journal\":{\"name\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"volume\":\"132 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWISA.2010.5473714\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2010.5473714","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Fuzzy Smith Control Method for Time Delay Systems
To overcome the shortcomings that the control effect of conventional Smith predictor will be worse when the parameters of time delay systems change, an adaptive fuzzy Smith control method is presented in this paper. It adds a fuzzy controller in the combination of Smith predictor and PID controller. The control parameters are adjusted online by the fuzzy controller to adapt the control requirement. And the simulation study had been done for a first-order time-delay system. The results show that this method offer good static and dynamic characteristics, at the same time its disturbance-rejection and robustness are better.