Orbit-Injection Strategy and Trajectory-Planning Method of the Launch Vehicle under Power Failure Conditions
Aiming at the problem of autonomous decision making and trajectory planning (ADMTP) for launch vehicles under power failure conditions, the target degradation order strategy (TDOS) and the trajectory online planning method were studied in this paper. Firstly, the influence of power failure on the or...
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Published in | Aerospace Vol. 9; no. 4; p. 199 |
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Format | Journal Article |
Language | English |
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01.04.2022
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Abstract | Aiming at the problem of autonomous decision making and trajectory planning (ADMTP) for launch vehicles under power failure conditions, the target degradation order strategy (TDOS) and the trajectory online planning method were studied in this paper. Firstly, the influence of power failure on the orbit-injection process was analyzed. Secondly, the TDOS was proposed according to the mission attribute, failure mode, and multi-payload combination. Then, an online planning method based on the adaptive target update iterative guidance method (ATU-IGM) and radial basis neural network (RBFNN) was proposed, where the ATU-IGM adopted the basic TDOS criterion for generating optimal orbit-injection samples and online guidance instructions, and the RBFNN was used for orbit-injection samples training and online generation of orbital missions. Finally, the comparative simulation analysis was performed under multi-failure conditions. The results showed that the TDOS proposed in this paper could meet the requirements of the mission decision making under different failures, target orbit types, orbit-injection methods, and payload compositions. The online trajectory-planning capability deviation was less than 5%, and the mission decision-making and trajectory-planning time were less than 10 ms. This study provides theoretical support for autonomous decision making and planning of space launch missions. |
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AbstractList | Aiming at the problem of autonomous decision making and trajectory planning (ADMTP) for launch vehicles under power failure conditions, the target degradation order strategy (TDOS) and the trajectory online planning method were studied in this paper. Firstly, the influence of power failure on the orbit-injection process was analyzed. Secondly, the TDOS was proposed according to the mission attribute, failure mode, and multi-payload combination. Then, an online planning method based on the adaptive target update iterative guidance method (ATU-IGM) and radial basis neural network (RBFNN) was proposed, where the ATU-IGM adopted the basic TDOS criterion for generating optimal orbit-injection samples and online guidance instructions, and the RBFNN was used for orbit-injection samples training and online generation of orbital missions. Finally, the comparative simulation analysis was performed under multi-failure conditions. The results showed that the TDOS proposed in this paper could meet the requirements of the mission decision making under different failures, target orbit types, orbit-injection methods, and payload compositions. The online trajectory-planning capability deviation was less than 5%, and the mission decision-making and trajectory-planning time were less than 10 ms. This study provides theoretical support for autonomous decision making and planning of space launch missions. |
Author | Xu, Hechuan Mu, Rongjun Diao, Yin Pu, Jialun |
Author_xml | – sequence: 1 givenname: Yin surname: Diao fullname: Diao, Yin – sequence: 2 givenname: Jialun surname: Pu fullname: Pu, Jialun – sequence: 3 givenname: Hechuan surname: Xu fullname: Xu, Hechuan – sequence: 4 givenname: Rongjun surname: Mu fullname: Mu, Rongjun |
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Cites_doi | 10.1016/j.actaastro.2018.04.013 10.3390/aerospace9020056 10.2514/6.2021-2021 10.3390/aerospace9020081 10.1108/AEAT-01-2015-0005 10.2514/1.G005376 10.2514/3.28985 10.1155/2018/6950124 10.1109/GNCC42960.2018.9018989 10.2514/1.49011 10.1007/978-1-4939-0802-8_10 10.3934/dcdss.2021145 10.1016/j.actaastro.2020.04.017 10.1002/acs.3396 10.2514/3.26741 10.1109/TCYB.2021.3112699 |
ContentType | Journal Article |
Copyright | 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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SubjectTerms | Accuracy Convex analysis Decision making Decision theory Failure Failure analysis Failure modes Injection launch vehicle Methods Neural networks Numerical analysis online trajectory planning Optimization algorithms orbit-injection strategy Power power failure Satellite communications Simulation analysis Strategy target degradation Trajectory planning Vehicles |
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Title | Orbit-Injection Strategy and Trajectory-Planning Method of the Launch Vehicle under Power Failure Conditions |
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