{"title":"Parameter Analysis of DDE-Based PID Controller Tuning Method","authors":"Chen Shihe, Zhong Qing, Z. Xi, Xue Yali","doi":"10.1109/GCIS.2013.32","DOIUrl":null,"url":null,"abstract":"The PID controller tuning method based on desired dynamic equation is analyzed on its close-loop control performance and stability. The stable region calculation method for DDE-based PID controller is proposed based on Nyquist stability criterion and open-loop frequency response. Then the influence of tunable parameter k on set point tracking error is analyzed when the order of controller does not consist with the relative degree of process. Simulation indicates that for the linear system with relative degree unknown or higher than two, the tracking error decreases with the growth of parameter k initially and increases afterwards, so an optimal parameter k exists, but the scaling factor l could expand the feasible scope of k largely.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth Global Congress on Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCIS.2013.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The PID controller tuning method based on desired dynamic equation is analyzed on its close-loop control performance and stability. The stable region calculation method for DDE-based PID controller is proposed based on Nyquist stability criterion and open-loop frequency response. Then the influence of tunable parameter k on set point tracking error is analyzed when the order of controller does not consist with the relative degree of process. Simulation indicates that for the linear system with relative degree unknown or higher than two, the tracking error decreases with the growth of parameter k initially and increases afterwards, so an optimal parameter k exists, but the scaling factor l could expand the feasible scope of k largely.