Abstract
In this paper, a basic CubeSat model is tried to be controlled with optimizing gain parameters of linear quadratic regulator. Noisy sensor measurements are used to determine attitude by using TRIAD. To reduce the effects of noise in optimization process, a two-step optimization approach is implemented. As a result of this approach, particle swarm optimization achieved to tune gain parameters of the controller.
Original language | English |
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Title of host publication | 2023 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350319064 |
DOIs | |
Publication status | Published - 2023 |
Event | 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023 - Baku, Azerbaijan Duration: 28 Aug 2023 → 30 Aug 2023 |
Publication series
Name | 2023 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023 |
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Conference
Conference | 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023 |
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Country/Territory | Azerbaijan |
City | Baku |
Period | 28/08/23 → 30/08/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- attitude controller
- CubeSat
- linear quadratic regulator
- magnetic control
- magnetorquer
- satellite