飞控系统传感器故障诊断研究

研究故障检测和诊断技术对提高系统可靠性具有重要意义，针对飞控系统中常见的传感器故障，提出了基于神经网络预测器的故障诊断方法。利用传感器输出时间序列构造神经网络预测器模型，网络结构使用多层感知器结构，根据网络输出和实际输出之差与某·阈值的大小比较关系判断故障。最后针对某型飞机建立仿真模型，并对单一及多个传感器故障诊断进行研究，给出了仿真实现结果，并加以分析。仿真结果表明，所提出的基于神经网络预测器的故障诊断方法是行之有效的，能够及时准确地确定故障的发生。

Research of Sensor Fault Diagnosis for Flight Control System

The sensor fault detection and diagnosis technology are important to improve the reliability of system.Aimed at the common sensor fault for flight control system,the approach of fault diagnosis based on neural network predictor is discussed.Constructing neural network predicting through neural network for output time series of sensor,the fault of sensor is judged by comparing the threshold value with the difference between network output and actual output.The construction of the network is multi-layer perce...