In recent years, Brushless DC (BLDC) motors have been gaining popularity as a solution for providing mechanical power, starting from low cost mobility solutions like the electric bikes, to high performance and high reliability aeronautical Electro-Mechanical Actuator (EMA). In this framework, the availability of fault detection tools suited to these types of machines appears necessary. There is already a vast literature on this topic, but only a small percentage of the proposed techniques have been developed to a sufficiently high Technology Readiness Level (TRL) to be implementable in industrial applications. The investigation on the state of the art carried out during the first phase of the present work, tried to collect the techniques which are closest to possible implementation. To fill a gap identified in the current techniques, a partial demagnetisation detection method is proposed in this paper. This technique takes advantage of the asymmetries generated in the current by the missing magnetic flux to detect the failure. Simulations and laboratory experiments have been carried out to validate the idea, showing the potential and the easy implementation of the method. The results have been examined in detail and satisfactory conclusions have been drawn.

This paper presents a multi-objective optimization method for DC/DC converters used in More Electrical Aircrafts applications. Very high efficiency associated with high power density requires the use of wide bandgap devices, such as SiC semiconductors. Results show that, due to the use of SiC devices, the designed converter produces lower losses at hard-switching (HS) modulation than at soft-switching (SS) modulation. Furthermore, we show that there is an optimal number of small converters in parallel, which provides high efficiency even at low power as well as high reliability, compared to a single converter.

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