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首页> 外文期刊>Journal of Spacecraft and Rockets >Aerogravity-Assist Maneuvers: Coupled Trajectory and Vehicle Shape Optimization
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Aerogravity-Assist Maneuvers: Coupled Trajectory and Vehicle Shape Optimization

机译：重力辅助操纵：轨迹和车辆形状的耦合优化

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摘要

The aerogravity-assist maneuver is proposed as a tool to improve the efficiency of the gravity assist, because due to the interaction with the planetary atmosphere, the angular deviation of the velocity vector can be definitely increased. Even though the drag reduces the spacecraft velocity, the overall △ v gain could be substantial for a high-lift-to-drag vehicle. A previous study addressed the three-dimensional dynamic modeling and optimization of the maneuver, including heliocentric plane change, heating rate, and structural load analysis. A multidisciplinary study of aerogravity assist is proposed, focusing on coupled trajectory and vehicle shape optimization. A planar aerogravity assist of Mars is selected as a test case, with the aim of maximizing the vehicle heliocentric velocity and limiting the heating rate experienced during the atmospheric pass. A multiobjective approach is adopted, and a particle swarm optimization algorithm is chosen to detect the set of Pareto-optimal solutions. The study includes a further refinement of the trajectory for three significant shapes belonging to the Pareto curve. The associated optimal control problem is solved by selecting a direct-method approach. The dynamics are transcribed into a set of nonlinear constraints, and the arising nonlinear programming problem is solved through a sequential quadratic programming solver.
机译：提出了重力辅助操纵作为提高重力辅助效率的工具，因为由于与行星大气的相互作用，可以确定地增加速度矢量的角度偏差。即使阻力降低了航天器的速度，总的△v增益对于高升空拖拽的飞行器来说还是相当可观的。先前的研究涉及三维动态建模和机动优化，包括日心平面变化，加热速率和结构载荷分析。提出了关于重力辅助的多学科研究，重点是结合了轨迹和车辆形状优化。选择火星的平面重力辅助作为测试用例，目的是使车辆的太阳中心速度最大化并限制在大气通道中经历的加热速率。采用多目标方法，并选择粒子群优化算法来检测一组帕累托最优解。研究包括对属于帕累托曲线的三个重要形状的轨迹的进一步完善。通过选择直接方法可以解决相关的最优控制问题。动力学被转化为一组非线性约束，并且通过顺序二次编程求解器解决了出现的非线性编程问题。

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