{"title":"模糊pid在电厂控制中的应用","authors":"Xiao-Feng Li, Jian Sun, Hui-Yan Wu, Wei-Dong Zong","doi":"10.1109/NAFIPS.2007.383839","DOIUrl":null,"url":null,"abstract":"To improve the control quality of conventional PID controller used in complex control system, a new design strategy of fuzzy-PID controller is proposed by utilizing the advantages of both fuzzy and auto tuning PID controls and their mutual compensation. The tuning method based on the specified phase and gain margin is proposed to determine the parameters of the new fuzzy self-adjusting PID controllers, to cope with a modern power plant with working condition changing frequently and strong dynamic time-varying nonlinear property. Using fuzzy inference methods, the fuzzy PID parameters can be adaptively adjusted on line for varying state of the system and changing operating condition. The strategy, which is implemented based on the function code on many typical DCS. The industrial application results show that many complex control system that uses this design strategy can effectively reduce the debugging time and has better control performance.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Application of The Fuzzy-PID to The Power Plant\",\"authors\":\"Xiao-Feng Li, Jian Sun, Hui-Yan Wu, Wei-Dong Zong\",\"doi\":\"10.1109/NAFIPS.2007.383839\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To improve the control quality of conventional PID controller used in complex control system, a new design strategy of fuzzy-PID controller is proposed by utilizing the advantages of both fuzzy and auto tuning PID controls and their mutual compensation. The tuning method based on the specified phase and gain margin is proposed to determine the parameters of the new fuzzy self-adjusting PID controllers, to cope with a modern power plant with working condition changing frequently and strong dynamic time-varying nonlinear property. Using fuzzy inference methods, the fuzzy PID parameters can be adaptively adjusted on line for varying state of the system and changing operating condition. The strategy, which is implemented based on the function code on many typical DCS. The industrial application results show that many complex control system that uses this design strategy can effectively reduce the debugging time and has better control performance.\",\"PeriodicalId\":292853,\"journal\":{\"name\":\"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAFIPS.2007.383839\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAFIPS.2007.383839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
To improve the control quality of conventional PID controller used in complex control system, a new design strategy of fuzzy-PID controller is proposed by utilizing the advantages of both fuzzy and auto tuning PID controls and their mutual compensation. The tuning method based on the specified phase and gain margin is proposed to determine the parameters of the new fuzzy self-adjusting PID controllers, to cope with a modern power plant with working condition changing frequently and strong dynamic time-varying nonlinear property. Using fuzzy inference methods, the fuzzy PID parameters can be adaptively adjusted on line for varying state of the system and changing operating condition. The strategy, which is implemented based on the function code on many typical DCS. The industrial application results show that many complex control system that uses this design strategy can effectively reduce the debugging time and has better control performance.