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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.18583 |
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| _version_ | 1866916917981216768 |
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| author | Choi, Daegyun Kim, Donghoon Leeghim, Henzeh |
| author_facet | Choi, Daegyun Kim, Donghoon Leeghim, Henzeh |
| contents | This study explores an energy-efficient control strategy for spacecraft inspection using a fuzzy inference system combined with a bio-inspired optimization technique to incorporate learning capability into the control process. The optimized fuzzy controller produces a minimally fuel-consuming force while maintaining reliable inspection within constraints, such as illumination, restricted field of view, thrust limits, and safe regions. The performance of the proposed control strategy is validated through Monte Carlo simulations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_18583 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Fuzzy-Based Control Method for Autonomous Spacecraft Inspection with Minimal Fuel Consumption Choi, Daegyun Kim, Donghoon Leeghim, Henzeh Systems and Control This study explores an energy-efficient control strategy for spacecraft inspection using a fuzzy inference system combined with a bio-inspired optimization technique to incorporate learning capability into the control process. The optimized fuzzy controller produces a minimally fuel-consuming force while maintaining reliable inspection within constraints, such as illumination, restricted field of view, thrust limits, and safe regions. The performance of the proposed control strategy is validated through Monte Carlo simulations. |
| title | Fuzzy-Based Control Method for Autonomous Spacecraft Inspection with Minimal Fuel Consumption |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2508.18583 |