{"title":"模糊史密斯智能控制在圆锥破碎机自动控制系统中的应用","authors":"Liu Ailian, Yue Feng","doi":"10.1109/CCDC.2012.6244443","DOIUrl":null,"url":null,"abstract":"The control system of cone crusher is a big inertial system with nonlinearity and pure time-delay. According to this, the Fuzzy PID and improved Smith predictor are presented. The design combines Fuzzy PID with a good dynamic performance and good robustness, and uses improved Smith predictor to overcome effects of the controlled object parameter changes. Simulation results show that the intelligent control system can improve the stability and dynamic performance of system.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of fuzzy Smith intelligent control in automatic control system of cone crusher\",\"authors\":\"Liu Ailian, Yue Feng\",\"doi\":\"10.1109/CCDC.2012.6244443\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The control system of cone crusher is a big inertial system with nonlinearity and pure time-delay. According to this, the Fuzzy PID and improved Smith predictor are presented. The design combines Fuzzy PID with a good dynamic performance and good robustness, and uses improved Smith predictor to overcome effects of the controlled object parameter changes. Simulation results show that the intelligent control system can improve the stability and dynamic performance of system.\",\"PeriodicalId\":345790,\"journal\":{\"name\":\"2012 24th Chinese Control and Decision Conference (CCDC)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 24th Chinese Control and Decision Conference (CCDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2012.6244443\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 24th Chinese Control and Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2012.6244443","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of fuzzy Smith intelligent control in automatic control system of cone crusher
The control system of cone crusher is a big inertial system with nonlinearity and pure time-delay. According to this, the Fuzzy PID and improved Smith predictor are presented. The design combines Fuzzy PID with a good dynamic performance and good robustness, and uses improved Smith predictor to overcome effects of the controlled object parameter changes. Simulation results show that the intelligent control system can improve the stability and dynamic performance of system.