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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2406.00402 |
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| _version_ | 1866914819238526976 |
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| author | Hamadouche, Anis Wu, Yun Sellathurai, Mathini Wallace, Andrew M. Mota, Joao F. C. |
| author_facet | Hamadouche, Anis Wu, Yun Sellathurai, Mathini Wallace, Andrew M. Mota, Joao F. C. |
| contents | This paper introduces a novel reconfigurable and power-efficient FPGA (Field-Programmable Gate Array) implementation of an operator splitting algorithm for Non-Terrestial Network's (NTN) relay satellites model predictive orientation control (MPC). Our approach ensures system stability and introduces an innovative reconfigurable bit-width FPGA-based optimization solver. To demonstrate its efficacy, we employ a real FPGA-In-the-Loop hardware setup to control simulated satellite dynamics. Furthermore, we conduct an in-depth comparative analysis, examining various fixed-point configurations to evaluate the combined system's closed-loop performance and power efficiency, providing a holistic understanding of the proposed implementation's advantages. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_00402 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Reconfigurable FPGA-Based Solvers For Sparse Satellite Control Hamadouche, Anis Wu, Yun Sellathurai, Mathini Wallace, Andrew M. Mota, Joao F. C. Signal Processing Systems and Control This paper introduces a novel reconfigurable and power-efficient FPGA (Field-Programmable Gate Array) implementation of an operator splitting algorithm for Non-Terrestial Network's (NTN) relay satellites model predictive orientation control (MPC). Our approach ensures system stability and introduces an innovative reconfigurable bit-width FPGA-based optimization solver. To demonstrate its efficacy, we employ a real FPGA-In-the-Loop hardware setup to control simulated satellite dynamics. Furthermore, we conduct an in-depth comparative analysis, examining various fixed-point configurations to evaluate the combined system's closed-loop performance and power efficiency, providing a holistic understanding of the proposed implementation's advantages. |
| title | Reconfigurable FPGA-Based Solvers For Sparse Satellite Control |
| topic | Signal Processing Systems and Control |
| url | https://arxiv.org/abs/2406.00402 |