{"title":"Real-time simultaneous state estimation and parameters identification of linear drive system with the SPOC based algorithm","authors":"I. Rusnak, R. Mainer, O. Rosenberg","doi":"10.1109/EEEI.2012.6376938","DOIUrl":null,"url":null,"abstract":"The State and Parameters Observability Canonical (SPOC) form based estimator is a nonparametric identification algorithm. It simultaneously estimates the plant's state and identifies the parameters of the plant. The algorithm has been implemented in SIMULINK® within the dSPACE® Real-Time Control Environment to identify in real-time a real linear drive system. The performance in real-time shows the ability of the SPOC based algorithm to perform on real hardware in noisy environment. The presented results demonstrate the ability of the SPOC based algorithm to simultaneously estimate the states and the parameters in real-time of linear motion system.","PeriodicalId":177385,"journal":{"name":"2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEEI.2012.6376938","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The State and Parameters Observability Canonical (SPOC) form based estimator is a nonparametric identification algorithm. It simultaneously estimates the plant's state and identifies the parameters of the plant. The algorithm has been implemented in SIMULINK® within the dSPACE® Real-Time Control Environment to identify in real-time a real linear drive system. The performance in real-time shows the ability of the SPOC based algorithm to perform on real hardware in noisy environment. The presented results demonstrate the ability of the SPOC based algorithm to simultaneously estimate the states and the parameters in real-time of linear motion system.