{"title":"试验最简单的死区补偿器","authors":"D. Soos, J. Slacka","doi":"10.1109/ICETA.2014.7107626","DOIUrl":null,"url":null,"abstract":"This paper deals with experience gained with a robust tuning of a dead-time compensator introduced in [1] and augmented in [2,3]. The controller tuning approach based on the performance portrait (PP) method is tested on a real plant and its quality compared to the user defined constraints. The influence of the used different order filters is also evaluated.","PeriodicalId":340996,"journal":{"name":"2014 IEEE 12th IEEE International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Experimenting with simplest dead time compensator\",\"authors\":\"D. Soos, J. Slacka\",\"doi\":\"10.1109/ICETA.2014.7107626\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with experience gained with a robust tuning of a dead-time compensator introduced in [1] and augmented in [2,3]. The controller tuning approach based on the performance portrait (PP) method is tested on a real plant and its quality compared to the user defined constraints. The influence of the used different order filters is also evaluated.\",\"PeriodicalId\":340996,\"journal\":{\"name\":\"2014 IEEE 12th IEEE International Conference on Emerging eLearning Technologies and Applications (ICETA)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 12th IEEE International Conference on Emerging eLearning Technologies and Applications (ICETA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETA.2014.7107626\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 12th IEEE International Conference on Emerging eLearning Technologies and Applications (ICETA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETA.2014.7107626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper deals with experience gained with a robust tuning of a dead-time compensator introduced in [1] and augmented in [2,3]. The controller tuning approach based on the performance portrait (PP) method is tested on a real plant and its quality compared to the user defined constraints. The influence of the used different order filters is also evaluated.