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作 者:郝培杰[1,2] 徐冰霖[2] 卢晓东[1] 刘飞[2]
机构地区:[1]西北工业大学航天学院,西安710072 [2]西安卫星测控中心,西安710043
出 处:《飞行器测控学报》2014年第6期512-517,共6页Journal of Spacecraft TT&C Technology
摘 要:卫星的单粒子闩锁异常发生初期隐蔽性强、不易诊断,如果长时间得不到有效处置将产生严重危害。根据卫星的实际管理经验,卫星的负载电流和蓄电池温度状态参数中隐含着此类异常发生的信息,但这2个状态参数受各种干扰的影响会出现较大的波动,很难直接利用其对闩锁异常进行准确识别。针对此问题,首先通过经验模态分解和边际谱分析方法分别从负载电流和蓄电池温度中提取集成电子器件单粒子闩锁异常的典型特征,然后对2种典型特征进行二值模糊综合判断,由判断结果即可得到故障发生概率的大小。当该概率大于50%时,即认为故障发生,由此实现异常初期的自动报警。Single event latch up anomaly is easily neglected and it is difficult to diagnose in the early stage. But it will bring about serious consequences if it is not effectively dealt with in time. According to practical management experi ence, abnormal information is hidden in load current and battery temperature data. But the data could fluctuate sig- nificantly as a result of many distractions and it is difficult to directly recognize a latch-up anomaly with the data. To solve the problem, anomalous characteristics of single event latch-up of integrated circuit components are got from load current and battery temperature by empirical mode decomposition and marginal spectrum analysis. Then, the probability of a satellite failure can be got by comprehensive 2 valued fuzzy identification of two typical types of char- acteristics. An automatic alarm shall be activated in the beginning stage of a highly possible single event latch-up when the probability is over 50%.
关 键 词:单粒子闩锁 故障诊断 经验模态分解 边际谱分析 模糊判别
分 类 号:V443[航空宇航科学与技术—飞行器设计]
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