The robust exact differentiator toolbox revisited: Filtering and discretization features

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

doi:10.1109/ICM46511.2021.9385675

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/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

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.

Originalsprache	englisch
Titel	2021 IEEE International Conference on Mechatronics, ICM 2021
Herausgeber (Verlag)	IEEE
ISBN (elektronisch)	9781728144429
DOIs	https://doi.org/10.1109/ICM46511.2021.9385675
Publikationsstatus	Veröffentlicht - 7 März 2021
Veranstaltung	2021 IEEE International Conference on Mechatronics: ICM 2021 - Virtuell, Japan Dauer: 7 März 2021 → 9 März 2021

Konferenz

Konferenz	2021 IEEE International Conference on Mechatronics
Kurztitel	ICM 2021
Land/Gebiet	Japan
Ort	Virtuell
Zeitraum	7/03/21 → 9/03/21

ASJC Scopus subject areas

Artificial intelligence
Maschinenbau
Steuerung und Optimierung

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10.1109/ICM46511.2021.9385675

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http://www.scopus.com/inward/record.url?scp=85104132934&partnerID=8YFLogxK

Dieses zitieren

Andritsch, B , Horn, M , Koch, S , Niederwieser, H, Wetzlinger, M & Reichhartinger, M 2021, The robust exact differentiator toolbox revisited: Filtering and discretization features. in 2021 IEEE International Conference on Mechatronics, ICM 2021., 9385675, IEEE, 2021 IEEE International Conference on Mechatronics, Virtuell, Japan, 7/03/21. https://doi.org/10.1109/ICM46511.2021.9385675

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title = "The robust exact differentiator toolbox revisited: Filtering and discretization features",

abstract = "An extended version of a Simulink{\textregistered} -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{\textregistered} -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.",

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author = "Benedikt Andritsch and Martin Horn and Stefan Koch and Helmut Niederwieser and Maximilian Wetzlinger and Markus Reichhartinger",

year = "2021",

month = mar,

day = "7",

doi = "10.1109/ICM46511.2021.9385675",

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booktitle = "2021 IEEE International Conference on Mechatronics, ICM 2021",

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AU - Wetzlinger, Maximilian

AU - Reichhartinger, Markus

PY - 2021/3/7

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N2 - 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.

AB - 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.

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KW - Signal filtering

KW - Sliding-mode observation

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BT - 2021 IEEE International Conference on Mechatronics, ICM 2021

PB - IEEE

Y2 - 7 March 2021 through 9 March 2021

ER -

The robust exact differentiator toolbox revisited: Filtering and discretization features

Abstract

Konferenz

ASJC Scopus subject areas

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