{"title":"自整定前馈PID控制器","authors":"Wen-Shyong Yu, T. Chai, X. Gu","doi":"10.1109/CDC.1994.411402","DOIUrl":null,"url":null,"abstract":"The parameters of fixed structure PID controller are difficult to determine, especially for non-minimum phase system. Recently, there has been significant progress in combining adaptive technology with PID controller. Most of them use pole assignment method, but the choosing closed-loop system poles and solving equation online restrict their development. The self-tuning PID controller can overcome this problems, but the stability analysis of closed loop system is difficult and global convergence of the algorithm cannot be established. This paper presents a new self-tuning feedforward controller and solves the above problems. The controller proposed is based on the generalised minimum variance control strategy.<<ETX>>","PeriodicalId":355623,"journal":{"name":"Proceedings of 1994 33rd IEEE Conference on Decision and Control","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Self-tuning feedforward PID controller\",\"authors\":\"Wen-Shyong Yu, T. Chai, X. Gu\",\"doi\":\"10.1109/CDC.1994.411402\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The parameters of fixed structure PID controller are difficult to determine, especially for non-minimum phase system. Recently, there has been significant progress in combining adaptive technology with PID controller. Most of them use pole assignment method, but the choosing closed-loop system poles and solving equation online restrict their development. The self-tuning PID controller can overcome this problems, but the stability analysis of closed loop system is difficult and global convergence of the algorithm cannot be established. This paper presents a new self-tuning feedforward controller and solves the above problems. The controller proposed is based on the generalised minimum variance control strategy.<<ETX>>\",\"PeriodicalId\":355623,\"journal\":{\"name\":\"Proceedings of 1994 33rd IEEE Conference on Decision and Control\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 33rd IEEE Conference on Decision and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1994.411402\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 33rd IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1994.411402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The parameters of fixed structure PID controller are difficult to determine, especially for non-minimum phase system. Recently, there has been significant progress in combining adaptive technology with PID controller. Most of them use pole assignment method, but the choosing closed-loop system poles and solving equation online restrict their development. The self-tuning PID controller can overcome this problems, but the stability analysis of closed loop system is difficult and global convergence of the algorithm cannot be established. This paper presents a new self-tuning feedforward controller and solves the above problems. The controller proposed is based on the generalised minimum variance control strategy.<>