{"title":"动态系统参数的最小二乘估计","authors":"J. Turner, B. Samanta","doi":"10.1109/SECON.2012.6196962","DOIUrl":null,"url":null,"abstract":"A precursor to control system design is the development of a mathematical model describing the behavior of a system to be controlled. This paper presents the utilization of a least squares technique to determine parameters of a system model using LabVIEW. The effect of noise on accurate determination of the system model parameters is discussed along with the method used to filter noise from the data. The procedure is illustrated using the dynamics of a DC motor. The simulated response of the identified system model is compared with the measured response of the physical plant to validate the identification process.","PeriodicalId":187091,"journal":{"name":"2012 Proceedings of IEEE Southeastcon","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Least squares estimation of dynamic system parameters using LabVIEW\",\"authors\":\"J. Turner, B. Samanta\",\"doi\":\"10.1109/SECON.2012.6196962\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A precursor to control system design is the development of a mathematical model describing the behavior of a system to be controlled. This paper presents the utilization of a least squares technique to determine parameters of a system model using LabVIEW. The effect of noise on accurate determination of the system model parameters is discussed along with the method used to filter noise from the data. The procedure is illustrated using the dynamics of a DC motor. The simulated response of the identified system model is compared with the measured response of the physical plant to validate the identification process.\",\"PeriodicalId\":187091,\"journal\":{\"name\":\"2012 Proceedings of IEEE Southeastcon\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Proceedings of IEEE Southeastcon\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SECON.2012.6196962\",\"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 Proceedings of IEEE Southeastcon","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.2012.6196962","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Least squares estimation of dynamic system parameters using LabVIEW
A precursor to control system design is the development of a mathematical model describing the behavior of a system to be controlled. This paper presents the utilization of a least squares technique to determine parameters of a system model using LabVIEW. The effect of noise on accurate determination of the system model parameters is discussed along with the method used to filter noise from the data. The procedure is illustrated using the dynamics of a DC motor. The simulated response of the identified system model is compared with the measured response of the physical plant to validate the identification process.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
