摘要
针对卫星姿态测量系统的硬件故障, 应用人工神经网络进行故障检测与诊断, 得到了较为满意的结果。研究表明, 人工神经网络结构简单, 学习速度快, 适应性广, 对于卫星姿态测量系统中的姿态传感器故障,
Artificial neural networks are proposed in this paper, which are used to detect and diagnose faults of hardware for the satellite attitude measurement system. The result is satisfied. It is shown by research that the networks are simple in structure and good in speed of learning and adaptability. The ANN can be used to detect and diagnose faults of sensors in measurement system of satellite attitude, and its detection rate and correct rate of diagnosis are 100 percent for assigned faults.
出处
《航天控制》
CSCD
北大核心
1999年第4期63-66,共4页
Aerospace Control
关键词
人工神经元网络
故障诊断
卫星
姿态测量
Artificial neural network Fault diagnosis Satellite attitude Measurement
