{"title":"基于形状识别的控制算法","authors":"Jian Lan, Shuiqing Yu, Liangliang Xu, Xuejuan Chen","doi":"10.1109/CCIS.2011.6045131","DOIUrl":null,"url":null,"abstract":"This paper compared and improved different control algorithm in flatness measurement system. And an improved threshold control algorithm was proposed, based on simple moving average algorithm. Experimental data show that the improved algorithm has good stability and controllability in flatness measurement system.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Control algorithm based on shape recognition\",\"authors\":\"Jian Lan, Shuiqing Yu, Liangliang Xu, Xuejuan Chen\",\"doi\":\"10.1109/CCIS.2011.6045131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper compared and improved different control algorithm in flatness measurement system. And an improved threshold control algorithm was proposed, based on simple moving average algorithm. Experimental data show that the improved algorithm has good stability and controllability in flatness measurement system.\",\"PeriodicalId\":128504,\"journal\":{\"name\":\"2011 IEEE International Conference on Cloud Computing and Intelligence Systems\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Cloud Computing and Intelligence Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCIS.2011.6045131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIS.2011.6045131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper compared and improved different control algorithm in flatness measurement system. And an improved threshold control algorithm was proposed, based on simple moving average algorithm. Experimental data show that the improved algorithm has good stability and controllability in flatness measurement system.