Algorithm of Reentry Guidance for Hypersonic Vehicle Based on Lateral Maneuverability Prediction
| Autor: | Guoxiang Shi, Zhiguo Han, Ke Zhang, Pei Wang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
hypersonic vehicle
020301 aerospace & aeronautics 0209 industrial biotechnology lateral guidance Lift (data mining) Computer science media_common.quotation_subject Landing point Monte Carlo method Mean value General Engineering Hypersonic vehicle TL1-4050 02 engineering and technology Aerodynamics Reentry Adaptability reentry guidance 020901 industrial engineering & automation 0203 mechanical engineering predictor-corrector guidance Algorithm Motor vehicles. Aeronautics. Astronautics media_common |
| Zdroj: | Xibei Gongye Daxue Xuebao, Vol 38, Iss 3, Pp 523-532 (2020) |
| ISSN: | 2609-7125 1000-2758 |
| DOI: | 10.1051/jnwpu/20203830523 |
| Popis: | Aiming at the problem that the traditional error corridor guidance method has poor adaptability in lateral guidance of predictor-corrector guidance, an algorithm of reentry guidance based on the vehicle lateral maneuverability prediction is proposed without increasing the calculation too much. The lateral component mean value of lift at reentry is calculated by using the bank angle magnitude function obtained from longitudinal guidance. According to the above-mentioned, a crossrange corridor with dynamic boundary constraint is designed to control bank angle reversal timing. Online parameters estimation is introduced to suppress the influence of the atmospheric density and aerodynamic parameters disturbance on the predictor model. The CAV-L, a kind of hypersonic vehicle, is used as an object to carry out reentry guidance simulation. The results show that the guidance algorithm can effectively guide vehicle to target for reentry missions of different range, the landing point error are small and the guidance effect is stable. The simulated results via Monte Carlo method verify that the guidance algorithm has a good adaptability and robustness to initial state deviations and process disturbances. |
| Databáze: | OpenAIRE |
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