| 标 题： |
A Cascade Heuristic Algorithm-Based Optimized Assembly Method for Modular Micro-nano-satellite
基于启发式算法的模块化微纳卫星优化装配方法 |
| 作 者： |
Hao Zhang
Jun Zhou
Guanghui Liu
Liwen Shi |
| 关键词： |
Modular micro-nano-satellite [模块化微纳卫星]
Assembly optimal design [ 装配优化设计]
Cascade heuristic algorithm [ 级联启发式算法]
Component allocation and layout [ 组件分配与布局]
Mass characteristics' optimization [ 质量特性的优化] |
| 出版年： |
2026 |
| 期刊名： |
International Journal of Aeronautical and Space Sciences
国际航空与空间科学杂志 |
| 年卷期： |
|
| 摘 要： |
Modular micro-nano-satellite is an emerging satellite system assembled by multiple modules, whose assembly design is a complex process involving the allocation and layout between components and modules. In order to obtain the best mass characteristics, this paper proposes a cascade heuristic algorithm based on Tabu Search (TS) and Improved Differential Evolution (IDE) to solve the assembly design problem of modular micro-nano-satellites. The algorithm adopts the TS algorithm as the first stage, and the components migration and swapping mechanism are used to obtain the optimal allocation scheme. On the basis of the optimal allocation scheme, an IDE algorithm is proposed as the second-stage optimization, which adds the components exchange and adjustment mechanism to obtain the optimal layout scheme. The performance and effectiveness of the proposed method are verified by applying it to a 12U modular micro-nano-satellite. The simulation results show that the proposed method can further reduce the system mass difference (MD) and moment of inertia (MOI), which provides an effective way to solve the assembly design problem of multi-module satellite systems.
模块化微纳卫星是一种由多个模块组成的新兴卫星系统，其装配设计是一个涉及组件与模块之间分配和布局的复杂过程。为了获得最佳的质量特性，本文提出一种基于禁忌搜索（TS）和改进型差分进化（IDE）的级联启发式算法，用于解决模块化微纳卫星的装配设计问题。该算法采用TS算法作为第一阶段，通过组件迁移与交换机制获取最优分配方案；在最优分配方案的基础上，引入IDE算法作为第二阶段优化，加入组件交换与调整机制以获得最优布局方案。通过将该方法应用于12U模块化微纳卫星，验证了所提方法的性能与有效性。仿真结果表明，该方法可进一步降低系统的质量差异（MD）和惯性矩（MOI），为多模块卫星系统的装配设计提供了有效解决方案。 |
| 中文内容为网络AI翻译，专业术语未必准确，仅供参考。 |
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