Penetration trajectory optimization for the hypersonic gliding vehicle encountering two interceptors
| Autor: | Shen, Zhipeng, Yu, Jianglong, Dong, Xiwang, Hua, Yongzhao, Ren, Zhang |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Aerospace Science and Technology, 2022, 121, 107363 |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1016/j.ast.2022.107363 |
| Popis: | The penetration trajectory optimization problem for the hypersonic gliding vehicle (HGV) encountering two interceptors is investigated. The HGV penetration trajectory optimization problem considering the terminal target area is formulated as a nonconvex optimal control problem. The nonconvex optimal control problem is transformed into a second-order cone programming (SOCP) problem, which can be solved by state-of-the-art interior-point methods. In addition, a penetration strategy that only requires the initial line-of-sight angle information of the interceptors is proposed. The convergent trajectory obtained by the proposed method allows the HGV to evade two interceptors and reach the target area successfully. Furthermore, a successive SOCP method with a variable trust region is presented, which is critical to balancing the trade-off between time consumption and optimality. Finally, the effectiveness and performance of the proposed method are verified by numerical simulations. Comment: 34 pages, 18 figures |
| Databáze: | arXiv |
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