This paper deals with the modelling and control of three phase induction machine under open phase fault. A modified set of stator transformations are introduced to model the machine under open phase fault. The model is used to derive the system dynamic equations under single phasing operation. These along with the system dynamic equations in the pre-fault and post-fault modes of operation form the transient model of the machine under fault. The transient and steady state performance of a prescribed control method under fault is evaluated using this model in MATLAB/Simulink environment. The results obtained and their physical implications are discussed.

In modern power electronic (PE) converters, the introduction of wide band-gap (WBG) devices has drastically reduced semiconductor losses. Double pulse test (DPT) and calorimetric (CT) loss measurement techniques are considered to be highly accurate for measuring these semiconductor power losses. However, these test methods necessitate a specialized test setup that cannot be implemented on a real-time PE converter. In contrast, analytical loss estimation techniques have the benefit of a short estimation time, provide insight into the switching process, and have the potential to improve accuracy. This paper compares a temperature-dependent analytical loss estimation method to the DPT and the calorimetric-based loss estimation method on a 6kW synchronous buck converter.

On-board charger (OBC) power handling capability has been increasing over the past few years for reducing the charging time. This requires a much detailed analysis of the losses incurred in OBCs for better volumetric design and improved effi-ciency. This paper presents a comprehensive loss model of a single stage (1-S) single phase (1-ϕ) OBC. The OBC is realized using a current-fed half-bridge converter at grid side with swinging boost inductor and a full-bridge converter at the battery side, galvanically isolated by a high frequency transformer (HFT). Swinging boost inductor maintains high power factor and keeps the inductor current in continuous conduction mode (CCM) for a wide load range. The effect of swinging boost inductor on the losses of the converter is presented. A laboratory prototype connected to 230 V/50 Hz mains voltage with the output voltage range of 300-400 V is also developed to validate the theoretical analysis.

This paper presents a method for the rotor position estimation of a switched reluctance motor (SRM) based on B-spline neural network to develop a position sensor-less drive. The neural network estimates the rotor position by measuring the phase voltage and current to calculate the flux-linkage. The neural-network can be trained online or by using the flux-linkage characteristics of the SRM. The efficacy of the model is validated by employing it to minimize the torque ripple in a 8/6 SRM by simulation in MATLAB/Simulink environment.

Electric vehicle (EV) battery charging application requires power converters with higher efficiency and power density. Soft-switched single stage power converters can be suitable for this application as they require lesser number of active and passive components compared to the conventional two stage converters. This paper presents two isolated single phase single stage AC-DC converter topologies for EV application. These converters operate under zero current switching (ZCS) condition. A regenerative flyback based snubber circuit is also presented to mitigate voltage spikes resulted due to the leakage inductor of the high frequency link transformer. A detailed analysis of converter operation is presented in this paper. Key experimental results are shown to validate the performance of these converters in a 1 kW prototype.