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Developing an optimal layout design of a satellite system by considering natural frequency and attitude control constraints

机译：通过考虑固有频率和姿态控制约束来开发卫星系统的最佳布局设计

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In recent years, there has been a growing research interest in layout design optimization of satellite systems. The layout design optimization of a satellite system is a complex process having a large number of design variables and constraints. This paper presents a hybrid optimization algorithm, which globally explores the design search space using Particle Swarm Optimization (PSO) and gradient-based Sequential Quadratic Programming (SQP) to rapidly locate optimum design point. The majority of the previous research works mainly focused on finding reasonable placement of components in satellite layout design, with some specific requirements, which are essential for the satellite stability, control and performance such as attitude control, non-interference and overlap constraints. In this study, additional requirements such as structural stiffness and natural frequency constraints are also considered. The proposed approach is employed on a simplified international global communication satellite. The obtained results indicate that the consideration of natural frequency and attitude control constraints in the configuration layout design of a satellite system can significantly improve the stability and control of the satellite and thus frequency coupling between satellite and launcher can be prevented. In addition, the results indicate that the proposed method provides an effective way of solving layout design optimization problem of satellite systems. (C) 2017 Elsevier Masson SAS. All rights reserved.
机译：近年来，人们对卫星系统的布局设计优化越来越感兴趣。卫星系统的布局设计优化是一个复杂的过程，具有大量的设计变量和约束。本文提出了一种混合优化算法，该算法使用粒子群优化（PSO）和基于梯度的顺序二次规划（SQP）全局探索设计搜索空间，以快速定位最佳设计点。先前的大多数研究工作主要集中在寻找卫星布局设计中组件的合理放置以及一些特定要求，这些要求对于卫星的稳定性，控制和性能（例如姿态控制，无干扰和重叠约束）至关重要。在这项研究中，还考虑了其​​他要求，例如结构刚度和固有频率约束。所提议的方法用于简化的国际全球通信卫星。获得的结果表明，在卫星系统的配置布局设计中考虑自然频率和姿态控制约束可以显着提高卫星的稳定性和控制能力，从而可以防止卫星与发射器之间的频率耦合。此外，结果表明，该方法为解决卫星系统布局设计优化问题提供了有效途径。 （C）2017 Elsevier Masson SAS。版权所有。

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