基于BP神经网络的无人机故障诊断专家系统研究  

A Combined Method Based on Expert System and BP Neural Network for UAV Systems Fault Diagnosis

作　　者：马岩[1] 曹金成 黄勇[1] 李斌[1] 

机构地区：[1]空军航空大学,长春130022 [2]空军航空兵第28师,杭州310000

出　　处：《长春理工大学学报（自然科学版）》2011年第4期137-139,共3页Journal of Changchun University of Science and Technology(Natural Science Edition)

摘　　要：针对无人机系统故障复杂度高、非线性强、故障现象多种多样等特点,提出将专家系统与BP神经网络相结合应用于无人机系统的故障诊断中。给出了该诊断系统的具体结构组成和诊断流程,并以无人机的遥测遥控系统为例进行了实例诊断,最后给出了系统软件的实现方式。结果表明,该系统能有效地对无人机系统进行快速准确地诊断,具有很好的应用前景。According to the complexity,variety and nonlinear mode of UAV systems faults,a combined method based on expert system and BP neural network is proposed for the diagnosis.The framework and the working process of the expert system based on BP neural network are described respectively.Then the telemetry and telecontrol system of UAV is taken as an example of the diagnosis.Lastly,the implementation of the system software is briefly given.The results show that the new expert system can diagnose UAV systems effectively and have a good application prospect.

关 键 词：无人机系统 专家系统 BP神经网络 故障诊断 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]