中国空间科学技术 ›› 2021, Vol. 41 ›› Issue (4): 41-48.doi: 10.16708/j.cnki.1000-758X.2021.0049

• 论文 • 上一篇    下一篇

LIPS-200离子推力器非预期电击穿特性的初步分析

张雪儿,张天平,李得天,孟伟   

  1. 1 兰州空间技术物理研究所,兰州730000
    2 真空技术与物理重点实验室,兰州730000
    3 甘肃省空间电推进技术重点实验室,兰州730000
  • 出版日期:2021-08-25 发布日期:2021-07-30
  • 基金资助:
    甘肃省科技计划资助(18JR3RA412)

Preliminary analysis of unexpected electrical breakdown characteristics of LIPS-200 ion thruster

ZHANG Xueer,ZHANG Tianping,LI Detian,MENG Wei   

  1. 1 Lanzhou Institute of Physics,Lanzhou 730000,China
    2 Science and Technology on Vacuum Technology and Physics Laboratory,Lanzhou 730000,China
    3 Key Laboratory of Space Electric Propulsion Technology of Gansu Province,Lanzhou 730000,China
  • Published:2021-08-25 Online:2021-07-30

摘要: 离子推力器的非预期电击穿现象直接影响其工程应用的工作可靠性,基于地面寿命试验中比较完整的非预期电击穿事件基础数据,采用基础数据对比分析、威布尔模型统计分析、因果关联推断与分析等方法,对LIPS200离子推力器在地面12000h寿命试验中的非预期电击穿现象进行了初步研究,获得了平均击穿频次、击穿事件的时间分布、分类统计击穿周期的威布尔分布等量化结果。分析表明,地面试验中LIPS200平均击穿频次明显低于NSTAR等产品的主要原因是LIPS200具有较低的栅间电场强度;其击穿事件具有明显的累计工作时间分布特性;采用双参数威布尔统计分析方法可以得到不同影响因素及机理下的击穿特征周期和击穿频次变化趋势。

关键词: 统计分析, 威布尔模型, 非预期电击穿, 离子推力器, 数据对比

Abstract:
Abstract: Unexpected electrical breakdown of the ion thruster directly affects the reliability of its engineering application. Based on the relatively complete data of breakdown events in the ground life test, a preliminary study was conducted on the breakdown phenomenon of LIPS-200 ion thruster in its 12000h life test with analysis approaches including data comparison, Weibull statistics and causal inference. Quantitative results were obtained, such as the average breakdown rate, the time distribution of breakdown events, the Weibull distribution of classified breakdown intervals. Analysis shows that the average breakdown rate of LIPS-200 is much lower than that of NSTAR and other products mainly because of its lower electrical field between grids; the distribution of breakdown events has a noticeable dependence on cumulative operating time; the characteristic breakdown intervals and breakdown rate change caused by different factors and mechanisms can be obtained with 2-parameter Weibull distribution model.

Key words: statistical analysis, Weibull model, unexpected electrical breakdown, ion thruster, data comparison