BP神经网络在无人机飞控系统故障诊断中的应用  

Fault Diagnosis of UAVs＇ Control System Using BP Neural Network

作　　者：谭勇[1] 盛怀洁[1] 

机构地区：[1]电子工程学院,合肥230037

出　　处：《电光系统》2009年第3期41-44,共4页Electronic and Electro-optical Systems

摘　　要：某型无人机飞控系统结构的复杂性使得它的故障形式与故障特征的关系呈非线性的映射关系，用传统的信号处理方法不易提取故障特征，给故障诊断带来很大困难。在分析BP神经网络的结构及其算法的基础上，构建了基于BP神经网络的故障诊断系统，用于某型无人机飞控系统的故障诊断，仿真结果表明优化后的BP算法能够用于故障诊断。The complexity of the structure of one type of UAVs＇ flight control system ,makes the non -linear mapping relationship between the faults and characteristic. It is not easy to extract the fault characteristics using traditional signal processing method. This brings difficulties in the fault diagnosis. By analyzing the structure and algorithm of BP neural network, the fault diagnosis system was built based on BP Artificial Neural Network, and has been used in the fault diagnosis of UAVs＇flight control system. The simulation result shows that the optimized BP algorithm can be successfully used for fault diagnosis of UAVs＇ flight control system.

关 键 词：BP神经网络 BP算法 故障诊断 

分 类 号：TP271[自动化与计算机技术—检测技术与自动化装置]