A study of fault detection and system reconfiguration for UAV navigation system bon RBF neural network

In the field of aeronautics and astronautics, the guidance and navigation system play so important role that it will bring huge loss once that system do wrong. Accordingly, besides detecting carefully and completely on the ground, after in the air, it is quite necessary to detect real time and take corresponding measure when the fault is found. Due to the nonlinearity and complexity of UAV integrated navigation system, this paper puts forward a method of fault detection, fault isolation and system reconfiguration based on RBF neural network. This kind of method can realize on line fault detection, fault isolation and system reconfiguration; so that, it can ensure the navigation precision of UAV integrated navigation system satisfy with performance request.