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 |
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Title of host publication | 2021 IEEE International Conference on Mechatronics, ICM 2021 |
Publisher | IEEE |
ISBN (Electronic) | 9781728144429 |
DOIs | |
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 |
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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