Genetic programming method for satellite optimization design with quantification of multi-granularity model uncertainty

IF 5 1区工程技术 Q1 ENGINEERING, AEROSPACE Aerospace Science and Technology Pub Date : 2024-11-23 DOI:10.1016/j.ast.2024.109764

Shucong Xie, Yunfeng Dong, Zhihua Liang

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Abstract

Utilizing digital tools for satellite optimization design is vital for supporting decision-making in the actual engineering of satellites. The higher the accuracy of the simulation model, the more precise the satellite performance evaluation, and the more valuable the optimization results. Traditional heuristic algorithms have been successful in optimizing satellite parameters but face challenges when dealing with component-level optimization of satellite composition and structure. To address this issue, this paper presents a genetic programming method for satellite optimization design with quantification of multi-granularity model uncertainty. It defines a multi-granularity simulation model for satellites and presents a method for quantifying model uncertainty. Building upon this foundation, it designs genetic programming tree structures and genetic operations, introducing granularity switching criteria to enable on-demand switching of model granularity. Furthermore, based on the correlation between satellite capabilities and subsystems, it defines an active crossover criterion at the subsystem level to expedite convergence speed further. Numerical simulation cases demonstrate the effectiveness of this method, which enables rapid optimization design of satellite component models, providing timely and efficient assistance for engineering applications.

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量化多粒度模型不确定性的卫星优化设计遗传编程方法

利用数字工具进行卫星优化设计对于支持卫星实际工程中的决策至关重要。仿真模型的精度越高，卫星性能评估就越精确，优化结果就越有价值。传统的启发式算法在优化卫星参数方面取得了成功，但在处理卫星组成和结构的组件级优化时面临挑战。针对这一问题，本文提出了一种用于卫星优化设计的遗传编程方法，并对多粒度模型的不确定性进行了量化。它定义了卫星的多粒度模拟模型，并提出了量化模型不确定性的方法。在此基础上，它设计了遗传编程树结构和遗传运算，引入了粒度切换标准，以实现模型粒度的按需切换。此外，基于卫星能力与子系统之间的相关性，它还定义了子系统级别的主动交叉准则，以进一步加快收敛速度。数值模拟案例证明了该方法的有效性，它能快速优化设计卫星组件模型，为工程应用提供及时高效的帮助。

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来源期刊

Aerospace Science and Technology 工程技术-工程：宇航

CiteScore

10.30

自引率

28.60%

发文量

654

审稿时长

54 days

期刊介绍： Aerospace Science and Technology publishes articles of outstanding scientific quality. Each article is reviewed by two referees. The journal welcomes papers from a wide range of countries. This journal publishes original papers, review articles and short communications related to all fields of aerospace research, fundamental and applied, potential applications of which are clearly related to: • The design and the manufacture of aircraft, helicopters, missiles, launchers and satellites • The control of their environment • The study of various systems they are involved in, as supports or as targets. Authors are invited to submit papers on new advances in the following topics to aerospace applications: • Fluid dynamics • Energetics and propulsion • Materials and structures • Flight mechanics • Navigation, guidance and control • Acoustics • Optics • Electromagnetism and radar • Signal and image processing • Information processing • Data fusion • Decision aid • Human behaviour • Robotics and intelligent systems • Complex system engineering. Etc.