TY - JOUR
T1 - Penetration trajectory optimization for the hypersonic gliding vehicle encountering two interceptors
AU - Shen, Zhipeng
AU - Yu, Jianglong
AU - Dong, Xiwang
AU - Hua, Yongzhao
AU - Ren, Zhang
N1 - Publisher Copyright:
© 2022 Elsevier Masson SAS
PY - 2022/2
Y1 - 2022/2
N2 - 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 (LOS) 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 balance the trade-off between time consumption and optimality. Finally, the effectiveness and performance of the proposed method are verified by numerical simulations.
AB - 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 (LOS) 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 balance the trade-off between time consumption and optimality. Finally, the effectiveness and performance of the proposed method are verified by numerical simulations.
KW - Hypersonic gliding vehicle
KW - Interceptors
KW - Penetration trajectory optimization
KW - Second-order cone programming
KW - Variable trust region
UR - https://www.scopus.com/pages/publications/85123032872
U2 - 10.1016/j.ast.2022.107363
DO - 10.1016/j.ast.2022.107363
M3 - 文章
AN - SCOPUS:85123032872
SN - 1270-9638
VL - 121
JO - Aerospace Science and Technology
JF - Aerospace Science and Technology
M1 - 107363
ER -