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Multi-Objective Optimization of Spacecraft Electrical Power Subsystem Design/Sizing

机译:航天器电力子系统设计/尺寸的多目标优化

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This paper presents application of multi-objective optimization to the design of spacecraft power subsystem. The selection of optimum design can be achieved by having a comparative trade study among different alternatives available. The paper provides a methodology to optimize the SEPS (Spacecraft Electrical Power Subsystem) design process taking into account both the technology trades and initial sizing in a constrained environment. The primary requirements for the design which depend on the mission choice like, average power, mission life, temperature and radiation environment, both for low earth orbit and geosynchronous earth orbit are considered here. The paper briefly describes comparison of different technologies available within the solar cells, solar array and batteries. Then it presents spacecraft power system sizing, which is derived by the mission requirements and design constraints imposed by technology available. Finally genetic algorithms are applied on this design process to get best possible choice for the design.
机译:本文介绍了对航天器电力子系统设计的多目标优化。通过在可用的不同替代品具有比较贸易研究,可以实现最佳设计。本文提供了一种方法,以优化SEPS(航天器电力子系统)设计过程考虑到技术交易和在受限制的环境中的初始规模。在此考虑在此考虑到依赖于特派团选择,平均功率,使命,温度和辐射环境的设计的主要要求,两者都在这里考虑为低地球轨道和地球同步地球轨道。本文简要介绍了太阳能电池,太阳能阵列和电池内提供的不同技术的比较。然后,它呈现了航天器电力系统尺寸,它由可用技术强加的任务要求和设计约束来源。最后遗传算法应用于这种设计过程,以获得最佳选择。

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