Fault diagnosis with matrix analysis for electrically actuated unmanned aerial vehicles

Abstract

Because of their large operational potential, unmanned aerial vehicles (UAVs) may be required to perform over long periods of time, which might lead to potential degradation or even failure of their electrical or/and mechanical control surfaces and components. Consequently, the least failure can degrade the performance of the process and might lead to a catastrophic event. Therefore, an efficient mechanism should be capable of making these faults realizable and act accordingly so that a performance index is continuously maintained. However, even when a fault is detected at the monitoring phase, as illustrated in a previous work by Kladis and Economou [