基于神经网络的无人机传感器故障诊断技术研究

摘要

The paper presents the UAV failure diagnosis method for the sensor with the neural network algorithm, which is composed of main network and local network. Based on the BP algorithm, a new kind of tolerant fault detection method is presented and the fault of sensors can be detected on line with this method. A simulation example is given for illustration.%无人机传感器的故障诊断和容错控制是一项关键技术,为了能够实时监测传感器的运行状态、快速定位故障和控制重构,文章采用BP神经网络设计了一种由主、从神经网络构成的无人机传感器故障诊断算法,其中主网络用于传感器的故障检测,从网络完成对故障的识别;该算法减少了故障诊断运算量,提高了故障诊断的实时性;通过仿真研究表明了该算法可以有效地检测、识别出故障,并能给出故障传感器估计值用于容错控制.