AI 中文总结
研究一对堆叠配置通信卫星的设计，应用不确定性下多学科设计优化技术，通过灵敏度分析等量化不确定性，相比添加安全裕度，可降低66%性能损失并高概率保证约束可行性。
AI 中文摘要
在卫星设计中，通常会在约束条件上增加安全裕度以获得对不确定性具有鲁棒性的保守解决方案。但这种鲁棒性往往以性能为代价，在设计问题定义中纳入不确定性可能更合适。本文通过将不确定性下的多学科设计优化技术应用于一个工业用例来应对这一挑战。该用例是一对以堆叠配置一起发射的通信卫星，每个卫星是强耦合多学科系统，两个卫星之间无耦合，此用例可扩展到任意数量卫星。通过考虑如灵敏度分析和基于可靠性的设计优化等式不确定性量化技术，研究表明，与添加预定义安全裕度相比，在设计问题中考虑不确定性可使性能损失降低66%，同时以高概率保证约束的可行性。
英文摘要
In satellite design, it is common practice to add safety margins to the constraints to achieve conservative solutions that are robust to uncertainties. This robustness often comes at the expense of performance and it may be more appropriate to include uncertainties in the definition of the design problem. This work addresses such a challenge by applying techniques of multidisciplinary design optimization under uncertainty to an industrial use case. The latter is a pair of telecommunication satellites launched together in a stacked configuration. Each satellite is a strongly coupled multidisciplinary system while the two satellites are not coupled at all. This use case can be extended to an arbitrary number of satellites. By considering uncertainty quantification techniques such as sensitivity analysis and reliability-based design optimization, this study demonstrates that accounting for uncertainties in the design problem results in a 66% reduction in performance loss compared to the adding of a predefined safety margins, while guaranteeing the feasibility of constraints with high probability.
Journal refAIAA AVIATION FORUM AND ASCEND 2025, Jul 2025, Las Vegas, United States
