Benedikt Andritsch, M. Horn, Stefan Koch, H. Niederwieser, Maximilian Wetzlinger, M. Reichhartinger
{"title":"The Robust Exact Differentiator Toolbox revisited: Filtering and Discretization Features","authors":"Benedikt Andritsch, M. Horn, Stefan Koch, H. Niederwieser, Maximilian Wetzlinger, M. Reichhartinger","doi":"10.1109/ICM46511.2021.9385675","DOIUrl":null,"url":null,"abstract":"An extended version of a Simulink® -block providing on-line differentiation algorithms based on discretized sliding-mode concepts is presented. Based on user-specified settings it computes estimates of the time-derivatives of the input signal up to order ten. Different discrete-time estimation algorithms as well as optional filtering properties can be selected. The paper includes an overview of the implemented algorithms, a detailed explanation of the developed Simulink® -block and two examples. The first example illustrates the application of the toolbox in a numerical simulation environment whereas the second one shows results obtained via an electrical laboratory setup.","PeriodicalId":373423,"journal":{"name":"2021 IEEE International Conference on Mechatronics (ICM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Mechatronics (ICM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICM46511.2021.9385675","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
An extended version of a Simulink® -block providing on-line differentiation algorithms based on discretized sliding-mode concepts is presented. Based on user-specified settings it computes estimates of the time-derivatives of the input signal up to order ten. Different discrete-time estimation algorithms as well as optional filtering properties can be selected. The paper includes an overview of the implemented algorithms, a detailed explanation of the developed Simulink® -block and two examples. The first example illustrates the application of the toolbox in a numerical simulation environment whereas the second one shows results obtained via an electrical laboratory setup.