This work investigates current control of an isolated bidirectional Phase-Shifted (PS) Dual Active Bridge (DAB) DC-DC converter (270V/28V, 5kW), for an energy storage application based on a 28V Li-Ion Battery. Two control strategies are investigated. First, a nonlinear average-model-based Sliding Mode Controller (SMC) is developed. Then, a model-less Fuzzy Control (FC) is presented and proven to be more suitable for the application. There is two main contributions in this work: (i) No small-signal model is needed in SMC design, neither a DAB model at all is needed for FC, which guarantees the closedloop system robustness. (ii) Stability analysis has been carried out using Lyapunov's method for both SMC and FC, in order to derive stability conditions to properly choose FC parameters. Simulation results are presented for both control strategies in order to highlight the advantages and compare the proposed approaches.

The aim of this paper is to present a wavelet based approach to detect broken bar faults in squirrel-cage induction machines. This approach uses instantaneous power as a medium for fault detection. A multi-resolution instantaneous power decomposition based on wavelet transform provides the different frequency bands whose energies are affected directly by the broken bar fault. Actually, the instantaneous power has low frequency components which are difficult to localize in the frequency domain analysis unless there is a long signal acquisition of current and voltage. By the wavelet transform, the study of energy related to the low frequency band is free of noise and improves the fault diagnosis without having the slip information. This can be especially useful when the induction machine is not fully loaded. In this paper, it is shown that for these reasons the wavelet approach applied to instantaneous power is superior to the frequency domain in the case of one and three broken bars for a three-phase squirrel cage induction machine.

In this article, an advanced multiphase modular power drive prototype is developed for More Electric Aircraft (MEA). The proposed drive is designed to supply a multi-phase permanent magnet (PM) motor rating 120 kW with 24 slots and 11 pole pairs. The power converter of the drive system is based on Silicon Carbide Metal Oxide Semiconductor Field-Effect Transistor (SiC MOSFET) technology to operate at high voltage, high frequency and low reverse recovery current. Firstly, an experimental characterization test is performed for the selected SiC power module in harsh conditions to evaluate the switching energy losses. Secondly, a finite element thermal analysis based on Ansys-Icepak is accomplished to validate the selected cooling system for the power converter. Thirdly, a co-simulation model is developed using Matlab-Simulink and LTspice ® to evaluate the SiC power module impact on the performance of a multiphase drive system at different operating conditions. The results obtained show that the dynamic performance and efficiency of the power drive are significantly improved, which makes the proposed system an excellent candidate for future aircraft applications.