A Real-Time Reentry Guidance Method for Hypersonic Vehicles Based on a Time2vec and Transformer Network
In this paper, a real-time reentry guidance law for hypersonic vehicles is presented to accomplish rapid, high-precision, robust, and reliable reentry flights by leveraging the Time to Vector (Time2vec) and transformer networks. First, referring to the traditional predictor–corrector algorithm and q...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-08-01
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| Series: | Aerospace |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2226-4310/9/8/427 |
| _version_ | 1827624208339828736 |
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| author | Jia Song Xindi Tong Xiaowei Xu Kai Zhao |
| author_facet | Jia Song Xindi Tong Xiaowei Xu Kai Zhao |
| author_sort | Jia Song |
| collection | DOAJ |
| description | In this paper, a real-time reentry guidance law for hypersonic vehicles is presented to accomplish rapid, high-precision, robust, and reliable reentry flights by leveraging the Time to Vector (Time2vec) and transformer networks. First, referring to the traditional predictor–corrector algorithm and quasi-equilibrium glide condition (QEGC), the reentry guidance issue is described as a univariate root-finding problem based on bank angle. Second, considering that reentry guidance is a sequential decision-making process, and its data has inherent characteristics in time series, so the Time2vec and transformer networks are trained to obtain the mapping relation between the flight states and bank angles, and the inputs and outputs are specially designed to guarantee that the constraints can be well satisfied. Based on the Time2vec and transformer-based bank angle predictor, an efficient and precise reentry guidance approach is proposed to realize on-line trajectory planning. Simulations and analysis are carried out through comparison with the traditional predictor-corrector algorithm, and the results manifest that the developed Time2vec and transformer-based reentry guidance algorithm has remarkable improvements in accuracy and efficiency under initial state errors and aerodynamic parameter perturbations. |
| first_indexed | 2024-03-09T12:04:39Z |
| format | Article |
| id | doaj.art-53fccc7e8ce34f33abbb3cbda8479add |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-09T12:04:39Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-53fccc7e8ce34f33abbb3cbda8479add2023-11-30T22:59:56ZengMDPI AGAerospace2226-43102022-08-019842710.3390/aerospace9080427A Real-Time Reentry Guidance Method for Hypersonic Vehicles Based on a Time2vec and Transformer NetworkJia Song0Xindi Tong1Xiaowei Xu2Kai Zhao3School of Astronautics, Beihang University (BUAA), Beijing 100191, ChinaSchool of Astronautics, Beihang University (BUAA), Beijing 100191, ChinaSchool of Astronautics, Beihang University (BUAA), Beijing 100191, ChinaSchool of Astronautics, Beihang University (BUAA), Beijing 100191, ChinaIn this paper, a real-time reentry guidance law for hypersonic vehicles is presented to accomplish rapid, high-precision, robust, and reliable reentry flights by leveraging the Time to Vector (Time2vec) and transformer networks. First, referring to the traditional predictor–corrector algorithm and quasi-equilibrium glide condition (QEGC), the reentry guidance issue is described as a univariate root-finding problem based on bank angle. Second, considering that reentry guidance is a sequential decision-making process, and its data has inherent characteristics in time series, so the Time2vec and transformer networks are trained to obtain the mapping relation between the flight states and bank angles, and the inputs and outputs are specially designed to guarantee that the constraints can be well satisfied. Based on the Time2vec and transformer-based bank angle predictor, an efficient and precise reentry guidance approach is proposed to realize on-line trajectory planning. Simulations and analysis are carried out through comparison with the traditional predictor-corrector algorithm, and the results manifest that the developed Time2vec and transformer-based reentry guidance algorithm has remarkable improvements in accuracy and efficiency under initial state errors and aerodynamic parameter perturbations.https://www.mdpi.com/2226-4310/9/8/427hypersonic vehicletime2vectransformerpredictor–corrector guidancereal-time reentry guidance |
| spellingShingle | Jia Song Xindi Tong Xiaowei Xu Kai Zhao A Real-Time Reentry Guidance Method for Hypersonic Vehicles Based on a Time2vec and Transformer Network Aerospace hypersonic vehicle time2vec transformer predictor–corrector guidance real-time reentry guidance |
| title | A Real-Time Reentry Guidance Method for Hypersonic Vehicles Based on a Time2vec and Transformer Network |
| title_full | A Real-Time Reentry Guidance Method for Hypersonic Vehicles Based on a Time2vec and Transformer Network |
| title_fullStr | A Real-Time Reentry Guidance Method for Hypersonic Vehicles Based on a Time2vec and Transformer Network |
| title_full_unstemmed | A Real-Time Reentry Guidance Method for Hypersonic Vehicles Based on a Time2vec and Transformer Network |
| title_short | A Real-Time Reentry Guidance Method for Hypersonic Vehicles Based on a Time2vec and Transformer Network |
| title_sort | real time reentry guidance method for hypersonic vehicles based on a time2vec and transformer network |
| topic | hypersonic vehicle time2vec transformer predictor–corrector guidance real-time reentry guidance |
| url | https://www.mdpi.com/2226-4310/9/8/427 |
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