Abstract
This paper presents applications of recently developed data-driven disturbance observer [1] for DC motor control. The proposed approach enables effective compensation for external disturbances, allowing for robust control even in the presence of noise or other interfering factors. By utilizing data-driven techniques, the disturbance observer learns the system dynamics from the behavior of the system to accurately estimate and compensate for disturbances. Experimental results demonstrate the effectiveness of the proposed data-driven observer in mitigating the impact of disturbances and improving the overall control performance of the motor system.
| Original language | English |
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| Title of host publication | 23rd International Conference on Control, Automation and Systems, ICCAS 2023 |
| Publisher | IEEE Computer Society |
| Pages | 359-360 |
| Number of pages | 2 |
| ISBN (Electronic) | 9788993215274 |
| DOIs | |
| State | Published - 2023 |
| Event | 23rd International Conference on Control, Automation and Systems, ICCAS 2023 - Yeosu, Korea, Republic of Duration: 17 Oct 2023 → 20 Oct 2023 |
Publication series
| Name | International Conference on Control, Automation and Systems |
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| ISSN (Print) | 1598-7833 |
Conference
| Conference | 23rd International Conference on Control, Automation and Systems, ICCAS 2023 |
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| Country/Territory | Korea, Republic of |
| City | Yeosu |
| Period | 17/10/23 → 20/10/23 |
Bibliographical note
Publisher Copyright:© 2023 ICROS.
Keywords
- Behavioral approach
- Data-driven control
- Disturbance observer