{"title":"A new modelling and identification approach for guaranteed inclusion of a voltage source inverter's output voltages","authors":"Stefan Krebs, Lukas Köhrer, S. Hohmann","doi":"10.1109/ICCAIS.2016.7822445","DOIUrl":null,"url":null,"abstract":"During the modelling of technical systems, the developer of the model is always faced with uncertain quantities due to non-ideal measurement devices. In contrast to classical stochastical approaches to handle these uncertainties, guaranteed approaches represent an emerging alternative. They allow on the one hand a direct application of the usually given error bounds of measurements and on the other hand a provision of guarantees regarding a model's output. One interesting application area of such methods are safety-critical systems such as electrical traction drives. In this paper, a new methodology to model a voltage source inverter considering unknown but bounded measurement uncertainties during the identification and the operation is presented. The provision of output intervals including the real output voltages is proven by simulations and experiments.","PeriodicalId":407031,"journal":{"name":"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAIS.2016.7822445","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
During the modelling of technical systems, the developer of the model is always faced with uncertain quantities due to non-ideal measurement devices. In contrast to classical stochastical approaches to handle these uncertainties, guaranteed approaches represent an emerging alternative. They allow on the one hand a direct application of the usually given error bounds of measurements and on the other hand a provision of guarantees regarding a model's output. One interesting application area of such methods are safety-critical systems such as electrical traction drives. In this paper, a new methodology to model a voltage source inverter considering unknown but bounded measurement uncertainties during the identification and the operation is presented. The provision of output intervals including the real output voltages is proven by simulations and experiments.