{"title":"基于支持向量回归的加工中心定位误差补偿","authors":"Liu Dahai","doi":"10.1109/ISAM.2013.6643481","DOIUrl":null,"url":null,"abstract":"To improve the positioning accuracy of a certain type of bridge gantry machining center, a positioning error compensation method based on support vector regression (SVR) is presented. After analyzing the influence of training data sets distribution, and pointing out that SVR may have a substandard performance when the training data are distributed sparsely at neighborhood of outliers or distributed in a small range, a training data sets constructing criterion is proposed. SVR is employed in position error compensation of a bridge gantry machining center to establish the model of the positioning error, actual positioning error compensation effects shows that the positioning accuracy and compensation operating efficiency are improved effectively.","PeriodicalId":323666,"journal":{"name":"2013 IEEE International Symposium on Assembly and Manufacturing (ISAM)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Positioning error compensation for machining center by support vector regression\",\"authors\":\"Liu Dahai\",\"doi\":\"10.1109/ISAM.2013.6643481\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To improve the positioning accuracy of a certain type of bridge gantry machining center, a positioning error compensation method based on support vector regression (SVR) is presented. After analyzing the influence of training data sets distribution, and pointing out that SVR may have a substandard performance when the training data are distributed sparsely at neighborhood of outliers or distributed in a small range, a training data sets constructing criterion is proposed. SVR is employed in position error compensation of a bridge gantry machining center to establish the model of the positioning error, actual positioning error compensation effects shows that the positioning accuracy and compensation operating efficiency are improved effectively.\",\"PeriodicalId\":323666,\"journal\":{\"name\":\"2013 IEEE International Symposium on Assembly and Manufacturing (ISAM)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Symposium on Assembly and Manufacturing (ISAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISAM.2013.6643481\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Symposium on Assembly and Manufacturing (ISAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAM.2013.6643481","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Positioning error compensation for machining center by support vector regression
To improve the positioning accuracy of a certain type of bridge gantry machining center, a positioning error compensation method based on support vector regression (SVR) is presented. After analyzing the influence of training data sets distribution, and pointing out that SVR may have a substandard performance when the training data are distributed sparsely at neighborhood of outliers or distributed in a small range, a training data sets constructing criterion is proposed. SVR is employed in position error compensation of a bridge gantry machining center to establish the model of the positioning error, actual positioning error compensation effects shows that the positioning accuracy and compensation operating efficiency are improved effectively.