Application of virtual technology in fault diagnosis of electrical system of unmanned aerial vehicle

Abstract

Based on the research on the fault characteristics of UAV (Unmanned Aerial Vehicle) electrical system, a method of multi-sensor data fusion using extended Kalman filter is proposed to extract fault features. For this reason, attitude and position calculation of UAV are carried out, and the multi-sensor data are finally fused into the position and attitude vector of UAV. Based on the requirement of UAV fault detection and fault diagnosis system with high automation and integration of various test and measurement functions, a UAV fault diagnosis system is developed. The design principle of the system is explained from both hardware and software aspects. With the help of virtual instrument technology and powerful functions of computer, the system realizes the intellectualization, miniaturization and integration of UAV automatic test and fault diagnosis system, which is very convenient to use. The system is implemented with mature technology, has an open modular architecture, and has good versatility and expansibility.