基于太阳电池阵模块电路与遗传算法的卫星功率优化研究  

Power requirement optimization design of satellites based on solar array modular circuit and genetic algorithm

作　　者：赵欣博 呙成 李正阳 ZHAO Xinbo;GUO Cheng;LI Zhengyang(Institute of Telecommunication and Navigation Satellite,CAST,Beijing 100094,China;Tianjin Institute of Power Sources,Tianjin 300384,China)

机构地区：[1]中国空间技术研究院通信与导航卫星总体部,北京100094 [2]天津电源研究所,天津300384

出　　处：《电源技术》2023年第11期1510-1513,共4页Chinese Journal of Power Sources

摘　　要：太阳电池阵是绝大多数航天器的在轨能源来源,在轨将太阳光能转化为电能,满足平台和有效载荷的功率需求。太阳电池阵为机电一体化设备,原料成本高、生产工艺复杂,是卫星平台的高价值单机。在太阳电池阵模块化布片的基础上,可以采用遗传算法等最优求解算法,在满足功率、质量等要求下,计算并个性化调整太阳电池片布片,针对卫星功率需求自动优化卫星变轨策略等设计,从而进一步控制航天器设计余量。在保证产品质量、技术成熟度的基础上,进一步提高航天产品的设计效能。Solar arrays serve as the primary on-orbit energy source for the vast majority of spacecraft,converting solar energy into electricity to meet the power requirements of the platform and payload.As an integrated electromechanical device,the solar array entails high raw material costs and a complex production process,and it is a high-value component of satellite platform.Building upon the modular layout of solar array modules,optimal solving algorithms such as genetic algorithms could be employed to calculate and personalize the arrangement of solar cells,satisfying power,weight,and other requirements.This allows for the automatic optimization of satellite maneuvering strategies based on power demands,thereby further controlling the spacecraft's design margins.On the basis of ensuring product quality and technological maturity,the efficiency of aerospace product design could be further enhanced.

关 键 词：太阳电池阵 模块电路 功率需求 遗传算法 

分 类 号：TM914[电气工程—电力电子与电力传动]