基于χ~2检验的FADS系统故障检测与管理技术研究

Technology Research of FADS System Fault Detection and Management Based on χ~2 Analysis

嵌入式大气数据传感系统采用分布在飞行器前端周线上的压力传感器阵列测量的压力推导大气参数,这种多测压孔结构的系统,比传统的探针插入式大气数据传感器具有较强的抗扰动能力,但是若把故障的压力测量信息引入到迭代算法会导致运算发散甚至整个系统失效;针对这一情况,提出利用卡方分析来检查测压点故障的方法,一旦确定测压点故障,便将该点排除出运算法则;仿真结果表明,该系统具备一定的容错能力。

Flush air data sensing （FADS） system uses a matrix of pressure orifices arranged in concentric circles on the nose of the vehicle to infer air data parameter. The multiple port sensing system is more tolerant to small disturbances in the measured pressure data than conventional probe-based intrusive airdata systems. However, large undetected failures in indiv- idual pressure ports can result in algorithm divergence and catastrophic failure of the entire system. This paper demonstrates how system and individual port failures may be detected using Х^2 analysis. Once identified , the effects of failures are eliminated using weighted least squares. Simulation results show that the system is capable of fault tolerance to some extent.