Small Solid-Model Rocket Design and Soft Landing Trajectory Planning
A recoverable rocket is one of the keys to reusable launch technology. Currently, most recoverable rockets are powered by liquid engines, which are costly and complex compared to solid engines. In this paper, we perform soft landing trajectory planning for the designed solid rocket. First, a small m...
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| Veröffentlicht in: | Journal of spacecraft and rockets 2024-11, Vol.61 (6), p.1667-1679 |
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| container_title | Journal of spacecraft and rockets |
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| creator | Chen, Nuo Liu, Shang Zhou, Xiang Zhang, Hong-Bo |
| description | A recoverable rocket is one of the keys to reusable launch technology. Currently, most recoverable rockets are powered by liquid engines, which are costly and complex compared to solid engines. In this paper, we perform soft landing trajectory planning for the designed solid rocket. First, a small model rocket equipped with a landing engine is innovatively designed. Second, a six-degree-of-freedom motion model of the rocket is established, and a minimum-landing-error problem is formed based on the landing engine. Third, successive convexification algorithm is applied to solve it. In the algorithm, a method of quaternion constraint correction is proposed to avoid the infeasibility of the problem. Lastly, the correctness and robustness of the algorithm are verified via three simulations. The possibility of rapid trajectory generation is verified by code optimization on a high-performance digital signal processor. |
| doi_str_mv | 10.2514/1.A35919 |
| format | Article |
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Currently, most recoverable rockets are powered by liquid engines, which are costly and complex compared to solid engines. In this paper, we perform soft landing trajectory planning for the designed solid rocket. First, a small model rocket equipped with a landing engine is innovatively designed. Second, a six-degree-of-freedom motion model of the rocket is established, and a minimum-landing-error problem is formed based on the landing engine. Third, successive convexification algorithm is applied to solve it. In the algorithm, a method of quaternion constraint correction is proposed to avoid the infeasibility of the problem. Lastly, the correctness and robustness of the algorithm are verified via three simulations. 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All requests for copying and permission to reprint should be submitted to CCC at ; employ the eISSN to initiate your request. See also AIAA Rights and Permissions .</rights><rights>Copyright © 2024 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the eISSN 1533-6794 to initiate your request. 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| source | Alma/SFX Local Collection |
| subjects | Aerospace engineering Algorithms Artificial intelligence Control algorithms Convex analysis Design Digital signal processors Engines Error correction Laboratories Microprocessors Optimization Rockets Signal generation Soft landing Trajectory optimization Trajectory planning Vehicles |
| title | Small Solid-Model Rocket Design and Soft Landing Trajectory Planning |
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