关键词: 空天飞行器, 能量管理, 轨迹规划, 禁飞区, 混合A*算法

Abstract: A Triaxial Improved Hybrid A*(TIH-A*) algorithm is proposed to address Terminal Area Energy Management (TAEM) phase trajectory planning for aerospace vehicle under non-circular restricted airspace. The flight trajectory is divided into the Hybrid A* phase, generated through searching, and the Dubins phase, generated through geometric splicing. For the Hybrid A* phase, a potential function is introduced to modify the cost map for reflecting motion trends and safety constraints. Child nodes are expanded based on angle-of-attack and bank angle commands to incorporate dynamic constraints. A cost function is designed to characterize terminal prediction altitude error for enforcing terminal constraints, while an adaptive node exploration logic is proposed to enhance algorithmic adaptability. For the Dubins phase, a nonlinear lateral guidance law is designed based on heading angle error to improve trajectory tracking performance. Longitudinal guidance is achieved by correcting the dynamic pressure profile and predicted flight path angle, allowing for small-range control in the inner loop and large-range control in the outer loop. Simulation results across various scenarios demonstrate that the proposed method successfully achieves effective no-fly zone avoidance and trajectory planning in TAEM phase under non-circular restricted airspace. The generated trajectories exhibit high design accuracy and strong adaptability to mission parameters and flight scenarios.

Key words: aerospace vehicles, terminal area energy management, trajectory planning, no-fly zone, hybrid A* algorithm