{"title":"基于模糊的IPD过程IMC-PID控制器设计","authors":"Parikshit Kr Paul, C. Dey, R. Mudi","doi":"10.1109/ISCBI.2013.30","DOIUrl":null,"url":null,"abstract":"A fuzzy based IMC-PID controller is designed for pure integrating process with delay (IPD). Here, we develop an IMC-PID tuning rule for the IPD process using first-order Padé approximation for dead time and a second-order filter is added to make the controller structure proper. The value of the only tuning parameter i.e., closed-loop time constant is selected with the help of a simple fuzzy rule base. An overall improvement is observed in the performance of the proposed IMC-PID controller in comparison with existing IMC tuning relations.","PeriodicalId":311471,"journal":{"name":"2013 International Symposium on Computational and Business Intelligence","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Design of Fuzzy Based IMC-PID Controller for IPD Process\",\"authors\":\"Parikshit Kr Paul, C. Dey, R. Mudi\",\"doi\":\"10.1109/ISCBI.2013.30\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fuzzy based IMC-PID controller is designed for pure integrating process with delay (IPD). Here, we develop an IMC-PID tuning rule for the IPD process using first-order Padé approximation for dead time and a second-order filter is added to make the controller structure proper. The value of the only tuning parameter i.e., closed-loop time constant is selected with the help of a simple fuzzy rule base. An overall improvement is observed in the performance of the proposed IMC-PID controller in comparison with existing IMC tuning relations.\",\"PeriodicalId\":311471,\"journal\":{\"name\":\"2013 International Symposium on Computational and Business Intelligence\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Symposium on Computational and Business Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCBI.2013.30\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Symposium on Computational and Business Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCBI.2013.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of Fuzzy Based IMC-PID Controller for IPD Process
A fuzzy based IMC-PID controller is designed for pure integrating process with delay (IPD). Here, we develop an IMC-PID tuning rule for the IPD process using first-order Padé approximation for dead time and a second-order filter is added to make the controller structure proper. The value of the only tuning parameter i.e., closed-loop time constant is selected with the help of a simple fuzzy rule base. An overall improvement is observed in the performance of the proposed IMC-PID controller in comparison with existing IMC tuning relations.
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