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arXiv 2603.03479eess.SYastro-ph.EPcs.SYphysics.space-ph
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利用电推进的低推力小行星轨道插入的多学科设计优化

Multidisciplinary Design Optimization of a Low-Thrust Asteroid Orbit Insertion Using Electric Propulsion

Iowa State University(爱荷华州立大学)

Yacob Medhin, Tushar Sial, Simone Servadio

AI总结:

本文提出了一种多学科设计优化框架,用于同时优化低推力小行星轨道插入任务中的轨迹和电力系统,考虑了电推进性能与电力供应的耦合关系。

摘要:

低推力电推进任务通常是在简化假设下设计的,例如恒定推力或固定比冲,忽略了轨迹动力学、航天器电力供应可用性和推进性能之间的强耦合。在深空环境中,太阳辐射减弱时,这些假设可能导致次优或不可行的设计,凸显了同时优化轨迹和电力子系统的重要性。本文提出了一种多学科设计优化(MDO)框架,用于同时设计低推力轨迹和航天器电力系统,明确耦合到电推进性能。该框架纳入了SPT-140霍尔推进器的高保真变比冲模型,在其中推力和效率直接受时间变化的太阳能供电可用性和太阳能阵列退化限制,而不是作为固定参数。耦合问题被提出为一个时间最优控制问题,并通过基于OpenMDAO和Dymos工具链的框架进行解决,其中Dymos采用基于集中化的直接转录方法进行轨迹优化。OpenMDAO提供准确的解析偏导数,从而实现高效的梯度优化。使用快速傅里叶级数形状基方法生成动态可行的初始猜测轨迹,然后使用IPOPT求解由此产生的非线性规划问题。所提出的框架通过围绕小行星16-心理(Psyche)的低推力轨道插入场景进行了演示,这是一个在太阳辐射减弱的情况下,电力感知轨迹设计特别关键的领域。模拟结果展示了该框架捕捉关键电力-推进-轨迹权衡的能力,突显了集成电力优化在现实电推进任务设计中的重要性。

英文摘要:

Low-thrust electric propulsion missions are often designed under simplifying assumptions such as constant thrust or fixed specific impulse, neglecting the strong coupling between trajectory dynamics, spacecraft power availability, and propulsion performance. In deep-space environments with reduced solar irradiance, these assumptions can lead to suboptimal or infeasible designs, underscoring the need to simultaneously optimize the trajectory and power subsystem. This paper presents a multidisciplinary design optimization (MDO) framework for the simultaneous design of low-thrust trajectories and spacecraft power systems, with explicit coupling to electric propulsion performance. The framework incorporates a high-fidelity variable-specific impulse model of the SPT-140 Hall thruster, in which thrust and efficiency are directly constrained by time-varying solar power availability and solar array degradation, rather than treated as fixed parameters. The coupled problem is posed as a time-optimal control problem and addressed using a framework built on top of OpenMDAO and Dymos toolchains, where Dymos employs a collocation-based direct-transcription approach for trajectory optimization. OpenMDAO provides accurate analytic partial derivatives, enabling efficient gradient-based optimization. A Fast Fourier Series shape-based method is used to generate dynamically feasible initial guess trajectories, and the resulting nonlinear programming problem is solved using IPOPT. The proposed framework is demonstrated through a low-thrust orbit insertion scenario around asteroid 16-Psyche, a regime in which reduced solar irradiance makes power-aware trajectory design particularly critical. Simulation results demonstrate the framework's ability to capture key power-propulsion-trajectory trade-offs, highlighting the importance of integrated power optimization for realistic electric propulsion mission design.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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