{"title":"模糊与PI控制系统在过热蒸汽温度控制中的比较研究","authors":"T. Náhlovský","doi":"10.1109/PC.2015.7169959","DOIUrl":null,"url":null,"abstract":"This paper deals with a comparison study of currently provided PI control system and the new proposed fuzzy control system for superheated steam temperature control of high pressure part in the power plant once-through boiler Fuzzy control properties are verified by simulation experiments for operating modes such as load level step and trend changes. Nonlinear model is used for the simulation experiment. The important fact, in terms of control algorithms implementation, is verification of control system properties during the change of process dynamics and response to disturbances. The response of fuzzy control system and original PI control system response are compared. Fuzzy control results dramatically improve system responses.","PeriodicalId":173529,"journal":{"name":"2015 20th International Conference on Process Control (PC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A comparison study of fuzzy and PI control system for temperature control of superheated steam\",\"authors\":\"T. Náhlovský\",\"doi\":\"10.1109/PC.2015.7169959\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with a comparison study of currently provided PI control system and the new proposed fuzzy control system for superheated steam temperature control of high pressure part in the power plant once-through boiler Fuzzy control properties are verified by simulation experiments for operating modes such as load level step and trend changes. Nonlinear model is used for the simulation experiment. The important fact, in terms of control algorithms implementation, is verification of control system properties during the change of process dynamics and response to disturbances. The response of fuzzy control system and original PI control system response are compared. Fuzzy control results dramatically improve system responses.\",\"PeriodicalId\":173529,\"journal\":{\"name\":\"2015 20th International Conference on Process Control (PC)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 20th International Conference on Process Control (PC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PC.2015.7169959\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 20th International Conference on Process Control (PC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PC.2015.7169959","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparison study of fuzzy and PI control system for temperature control of superheated steam
This paper deals with a comparison study of currently provided PI control system and the new proposed fuzzy control system for superheated steam temperature control of high pressure part in the power plant once-through boiler Fuzzy control properties are verified by simulation experiments for operating modes such as load level step and trend changes. Nonlinear model is used for the simulation experiment. The important fact, in terms of control algorithms implementation, is verification of control system properties during the change of process dynamics and response to disturbances. The response of fuzzy control system and original PI control system response are compared. Fuzzy control results dramatically improve system responses.