{"title":"Design of Smith predictor for monitor finishing automatic width control system based on chaos optimization","authors":"Lijun Wang, Qing Li, Chao-nan Tong, Yixin Yin","doi":"10.1109/ICICIP.2012.6391501","DOIUrl":null,"url":null,"abstract":"Smith predictor is presented for monitor finishing automatic width control (M-FAWC) system to deal with the large transport time-delay. With the minimal settling time with a constraint, the optimal parameters of Smith predictor are tuned based on the mutative scale chaos optimization method to meet high performance of strip width. The simulation results of the M-FAWC system show that the optimized Smith predictor has better dynamic performance than the conventional PID controller, and the chaos optimization algorithm is effective.","PeriodicalId":376265,"journal":{"name":"2012 Third International Conference on Intelligent Control and Information Processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Conference on Intelligent Control and Information Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIP.2012.6391501","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
Smith predictor is presented for monitor finishing automatic width control (M-FAWC) system to deal with the large transport time-delay. With the minimal settling time with a constraint, the optimal parameters of Smith predictor are tuned based on the mutative scale chaos optimization method to meet high performance of strip width. The simulation results of the M-FAWC system show that the optimized Smith predictor has better dynamic performance than the conventional PID controller, and the chaos optimization algorithm is effective.