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首页> 外文期刊>Journal of Spacecraft and Rockets >Multi-Objective, Multidisciplinary Design Optimization Methodology for Distributed Satellite Systems
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Multi-Objective, Multidisciplinary Design Optimization Methodology for Distributed Satellite Systems

机译：分布式卫星系统的多目标，多学科设计优化方法

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摘要

A multi-objective, multidisciplinary design optimization methodology for mathematically modeling the distributed satellite system conceptual design problem as an optimization problem has been developed. The tradespace for distributed satellite systems can be enormous, too large to enumerate, analyze, and compare all possible architectures. The seven-step methodology enables an efficient search of the tradespace for the best families of architectures during the conceptual design phase. Four classes of optimization techniques are investigated, Taguchi, heuristic, gradient, and univariate methods. The heuristic simulated annealing algorithm found the best distributed satellite system architectures with the greatest consistency due to its ability to escape local optima within a nonconvex tradespace. The conceptual design problem scope is then broadened by expanding from single-objective to multi-objective optimization problems, and two variant multi-objective simulated annealing algorithms are developed. Finally, several methods are explored for approximating the true global Pareto boundary with only a limited knowledge of the full design tradespace. In this manner, the methodology serves as a powerful, versatile systems engineering and architecting tool for the conceptual design of distributed satellite systems.
机译：已经开发了一种多目标，多学科的设计优化方法，该数学方法将数学上的分布式卫星系统概念设计问题建模为一个优化问题。分布式卫星系统的交易空间可能很大，太大而无法枚举，分析和比较所有可能的体系结构。七个步骤的方法可以在概念设计阶段高效地搜索贸易空间，以找到最佳的体系结构家族。研究了四类优化技术：田口（Taguchi），启发式，梯度和单变量方法。启发式模拟退火算法发现了最佳的分布式卫星系统体系结构，具有最大的一致性，这是因为它能够逃避非凸贸易空间内的局部最优。然后，从单目标优化问题扩展到多目标优化问题，从而拓宽了概念设计问题的范围，并开发了两种变体的多目标模拟退火算法。最后，探索了几种方法，仅在有限的完整设计贸易空间知识的基础上逼近真实的全球帕累托边界。以这种方式，该方法可以用作分布式卫星系统概念设计的强大，通用的系统工程和架构工具。

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