The robust exact differentiator toolbox revisited: Filtering and discretization features

Benedikt Andritsch, Martin Horn, Stefan Koch, Helmut Niederwieser, Maximilian Wetzlinger, Markus Reichhartinger

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

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.

Originalspracheenglisch
Titel2021 IEEE International Conference on Mechatronics, ICM 2021
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers
ISBN (elektronisch)9781728144429
DOIs
PublikationsstatusVeröffentlicht - 7 März 2021
Veranstaltung2021 IEEE International Conference on Mechatronics: ICM 2021 - Virtuell, Japan
Dauer: 7 März 20219 März 2021

Konferenz

Konferenz2021 IEEE International Conference on Mechatronics
KurztitelICM 2021
Land/GebietJapan
OrtVirtuell
Zeitraum7/03/219/03/21

ASJC Scopus subject areas

  • Artificial intelligence
  • Maschinenbau
  • Steuerung und Optimierung

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