An Adaptive Threshold Neural-Network Scheme for Rotorcraft UAV Sensor Failure Diagnosis
نویسندگان
چکیده
This paper presents an adaptive threshold neural-network scheme for Rotorcraft Unmanned Aerial Vehicle (RUAV) sensor failure diagnosis. The approach based on adaptive threshold has the advantages of better detection and identification ability compared with traditional neural-network-based scheme. In this paper, the proposed scheme is demonstrated using the model of a RUAV and the results show that the adaptive threshold neural-network method is an effective tool for sensor fault detection of a RUAV.
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تاریخ انتشار 2007