{"title":"Improved parameters tuning method of model-driven PID control systems","authors":"Y. M. Zhao, W. Xie, X. Tu","doi":"10.1109/ICIEA.2011.5975830","DOIUrl":null,"url":null,"abstract":"In this paper, an improved parameters tuning method of model-driven two degree of freedom PID control system has been proposed to enhance the control performances of a PID controlled system. Known for its ability of stabilizing the unstable processes, fast tracking to the change of set points and rejecting disturbance, the model-driven two degree of freedom PID — so called MD TDOF PID has gained research interest recently. The tuning methods for the previous MD TDOF PID are based on internal model control (IMC) method. In this paper, an integral of time and absolute error (ITAE) tuning and noise effect minimizing method is proposed for two parameters in MD TDOF PID control system to achieve the desired regulating and disturbance rejection performance. The comparison with traditional PID controller and the designed MD TDOF PID in [6] demonstrate the effectiveness of the proposed tuning methods.","PeriodicalId":304500,"journal":{"name":"2011 6th IEEE Conference on Industrial Electronics and Applications","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th IEEE Conference on Industrial Electronics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2011.5975830","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper, an improved parameters tuning method of model-driven two degree of freedom PID control system has been proposed to enhance the control performances of a PID controlled system. Known for its ability of stabilizing the unstable processes, fast tracking to the change of set points and rejecting disturbance, the model-driven two degree of freedom PID — so called MD TDOF PID has gained research interest recently. The tuning methods for the previous MD TDOF PID are based on internal model control (IMC) method. In this paper, an integral of time and absolute error (ITAE) tuning and noise effect minimizing method is proposed for two parameters in MD TDOF PID control system to achieve the desired regulating and disturbance rejection performance. The comparison with traditional PID controller and the designed MD TDOF PID in [6] demonstrate the effectiveness of the proposed tuning methods.