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Acta Aeronautica et Astronautica Sinica ›› 2026, Vol. 47 ›› Issue (6): 332509.doi: 10.7527/S1000-6893.2025.32509

• Electronics and Electrical Engineering and Control • Previous Articles    

Rapid reentry trajectory planning for hypersonic vehicles with proactive no-fly zone separation assurance

Yao ZHAO1, Xi ZHANG2, Di ZHOU1(), Yutang LI1, Siyuan LI1   

  1. 1.School of Astronautics,Harbin Institute of Technology,Harbin 150001,China
    2.Science and Technology on Space Physics Laboratory,China Academy of Launch Vehicle Technology,Beijing 100076,China
  • Received:2025-07-03 Revised:2025-07-25 Accepted:2025-10-13 Online:2025-11-06 Published:2025-10-30
  • Contact: Di ZHOU E-mail:zhoud@hit.edu.cn

Abstract:

To address the reentry trajectory planning problem for hypersonic vehicles with spherical No-Fly Zone (NFZ) constraints, this paper proposes a Sequential Convex Programming (SCP) method based on dynamic objective reconstruction and a hybrid step-size control strategy, enabling proactive NFZ separation assurance. First, a potential function is introduced to model the spherical NFZs as soft constraints, transforming the reentry trajectory planning problem into a sequence of convex subproblems with coupled soft and hard constraints. Second, to mitigate numerical overflow issues caused by the potential function and reduce sensitivity to initial guesses, a two-phase “feasibility-optimality” dynamic decoupling framework is developed. The first phase focuses on computing a feasible solution to generate a high-quality initial trajectory for subsequent optimization, while the second phase dynamically reconstructs the optimization objective using the soft-constraint potential function to maximize the standoff distance from NFZs without significantly compromising primary performance objectives. Furthermore, a hybrid step-size control strategy is designed by integrating the trust-region method with the line-search algorithm, effectively exploiting descent information from rejected steps and improving computational efficiency. Numerical simulations demonstrate that the proposed algorithm guarantees a sufficient safety margin from spherical NFZs. Compared with the conventional trust-region convex optimization method, the proposed method improves computational speed by a 95%, and reduces terminal altitude and velocity errors by factors of 19 and 6, respectively. Compared to the Gauss pseudospectral method, the proposed approach achieves a threefold increase in computational speed while maintaining comparable terminal altitude and velocity accuracy, highlighting its promising potential for practical applications.

Key words: reentry trajectory planning, sequential convex programming, spherical no-fly zone, trust region, line search

CLC Number: