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计算机技术23年2期

基于模糊推理的微纳卫星电源系统仿真研究
曹闯,巩晓晖
(华北水利水电大学,河南 郑州 450046)

摘  要:为实现微纳卫星电源系统实时监测的需求,对太阳电池阵温度与输出功率、蓄电池容量进行建模,考虑卫星运行过程中姿态变化,结合卫星在轨运动,在一定供电需求任务背景下,实时计算微纳卫星电源系统能量的变化,并对仿真结果进行研究分析,判断卫星能量是否能够达到单圈平衡。针对锂离子电池容量变化原因复杂,容量难以直接测量问题,使用模糊推理进行计算。


关键词:太阳电池阵;输出功率;容量;仿真;模糊推理



DOI:10.19850/j.cnki.2096-4706.2023.02.023


中图分类号:TP391.9;TM912                             文献标识码:A                           文章编号:2096-4706(2023)02-0094-04


Simulation Research on Micro-Nano Satellite Power System Based on Fuzzy Inference

CAO Chuang, GONG Xiaohui

(North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

Abstract: In order to realize the real-time monitoring requirement of the micro-nano satellite power system, the temperature, output power and battery capacity of the solar cell array are modeled. Considering the attitude change during satellite operation, combined with the satellite in orbit movement, under the background of a certain power supply demand task, the energy change of micro-nano satellite power system is calculated in real time, and the simulation results are studied and analyzed to determine whether the satellite energy can reach the single loop balance. In view of the complex reasons for the change of lithium ion battery capacity, which is difficult to measure directly, fuzzy inference is used to calculate.

Keywords: solar cell array; output power; capacity; simulation; fuzzy inference


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作者简介:曹闯(1995—),男,汉族,河南商丘人,硕士在读,研究方向:机器学习、系统仿真;巩晓晖(1996—),女,汉族,山东聊城人,硕士在读,研究方向:机器学习、时间序列。