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

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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.

Original language	English
Title of host publication	2021 IEEE International Conference on Mechatronics, ICM 2021
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781728144429
DOIs	https://doi.org/10.1109/ICM46511.2021.9385675
Publication status	Published - 7 Mar 2021
Event	2021 IEEE International Conference on Mechatronics: ICM 2021 - Virtuell, Japan Duration: 7 Mar 2021 → 9 Mar 2021

Conference

Conference	2021 IEEE International Conference on Mechatronics
Abbreviated title	ICM 2021
Country/Territory	Japan
City	Virtuell
Period	7/03/21 → 9/03/21

Keywords

MATLAB/Simulink-toolbox
On-line discrete-time differentiation
Signal filtering
Sliding-mode observation

ASJC Scopus subject areas

Artificial Intelligence
Mechanical Engineering
Control and Optimization

Access to Document

10.1109/ICM46511.2021.9385675

Cite this

The robust exact differentiator toolbox revisited : Filtering and discretization features. / Andritsch, Benedikt ; Horn, Martin ; Koch, Stefan et al.

2021 IEEE International Conference on Mechatronics, ICM 2021. Institute of Electrical and Electronics Engineers, 2021. 9385675.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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, Institute of Electrical and Electronics Engineers, 2021 IEEE International Conference on Mechatronics, Virtuell, Japan, 7/03/21. https://doi.org/10.1109/ICM46511.2021.9385675

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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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The robust exact differentiator toolbox revisited: Filtering and discretization features

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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