中国科技核心期刊

中文核心期刊

CSCD来源期刊

空间控制技术与应用 ›› 2025, Vol. 51 ›› Issue (1): 16-24.doi: 10.3969/j.issn.16741579.2025.01.002

• 论文与报告 • 上一篇    下一篇

吸气式电推进系统进气道性能多目标优化研究

  

  1. 北京航空航天大学
  • 出版日期:2025-02-26 发布日期:2025-03-06
  • 基金资助:
    国家自然科学基金资助项目(52372373)、北京控制工程研究所开放基金课题(LabASP202102)和北京市科技新星计划资助项目(20240484718)

Inlet Multi Objective Optimization for Air Breathing Electric Propulsion

  • Online:2025-02-26 Published:2025-03-06

摘要: 吸气式电推进(air breathing electric propulsion, ABEP)系统使用超低轨道大气作为工质,可突破推进剂携带量对卫星使用寿命的限制瓶颈,是超低轨卫星实现长期驻留的关键技术途径之一.本文采用直接模拟蒙特卡罗(direct simulation Monte Carlo, DSMC)计算方法,对二维的ABEP进气道模型进行模拟.设定壁面碰撞模型为完全漫反射,在进气道的进口直径保持定值的前提下,改变进气道的长纵比、出口锥角、栅格长度和栅格层数,以分别探究这些影响因素单一作用下的进气道性能变化规律.在单一影响规律的前提下,利用遗传算法进行多目标优化,得到符合设计要求的高性能进气道设计参数,通过权重分配实现了典型高度下进气道设计中收集效率与压缩比的最优解.本研究对大气收集器产品的工程化应用具有指导意义.

关键词: 超低轨道卫星, 直接模拟蒙特卡洛, 吸气式电推进, 多目标优化

Abstract: The low orbital altitude of the near Earth satellite makes the satellite have higher detection accuracy. However, the service life of the satellite is restricted by the drag caused by the satellite not completely leaving the atmosphere. The air breathing electric propulsion system is used to extend the life of the satellite. The direct simulatiou Monte Carlo (DSMC) calculation method is used to simulate a two dimensional air breathing electric propulsion model. The wall impact model is set as completely diffuse reflection. On the premise that the inlet diameter of the inlet is maintained at a constant value, the inlet long to longitudinal ratio, outlet cone angle, grid length and grid layer number are changed to explore the inlet performance variation rule under the single action of these influencing factors. Under the premise of single influence rule, genetic algorithm is used to carry out multi objective optimization, and the design parameters of high performance inlet meeting the design requirements are obtained, and the optimal design method of inlet at typical height is studied.

Key words: super low orbit satellite, direct simulation of Monte Carlo, air breathing electric propulsion, multi objective optimization

中图分类号: 

  • V430