A. Berzoy

This paper studies the effect of the location of stator inter-turn short-circuit (ITSC) faults on the squirrel-cage induction machine (IM) model parameter's. The ITSC location can be affected in three different ways, however we studied two of them: the physical placement for a fixed number of turns fault and the variation of the number of turns short-circuited. Both different cases will influence the rotating magnetic field shape in the airgap and thus the stator and rotor parameters. Two investigations are conducted, the former one is a finite element analysis (FEA) of four location cases of equal severity factor ITSC in the IM phase " a ". The latter is a theoretical and mathematical analysis where the ITSC is modeled by a step-down auto-transformer in the faulty circuit. The results of the FEA corroborate that different locations impacts the IM parameters, however, the effect is not substantial and the theoretical model indicates how the parameters vary with the fault. Moreover, a comparative study of two IM damaged models that present different approach to the stator leakage inductance is performed. The asymmetric mathematical model is presented, simulated and experimentally compared. Index Terms— Fault detection and identification, finite element analysis, induction machines, inter-turn short-circuit location.

—This paper presents an improved complex-vector dynamic model for a three-phase induction machine (IM) with stator inter-turn short-circuit (ITSC) fault. The paper proposes an accurate and meaningful approach to the faulty stator leakage inductance and describes a non-linear phenomenon in the faulty circuit. The asymmetric model is developed in detail and represented in state-space (SS) form with the flux-linkages as the SS variable. Based on the proposed model, steady-state complex-vector, operational, and sequence component equivalent circuits (EC) are derived for fault detection and identification (FDI) purposes. For reasons of verification, the model is simulated in MatLab environment and experimentally corroborated for a 1HP three-phase squirrel-cage IM. The simulations and experiments are compared at no-load and loading condition for both transient and steady-state response. The permanent regime analysis studies the model with respect to the fault severity factor, fault resistance and load variation. The proposed model shows high correlation with the experimental results. Index Terms— Complex-vector, fault detection and identification, induction motor, inter-turn short-circuit fault, state-space modeling.

Electromagnetic emission produced by high frequency switching current of inductive components has an adverse effect on sensitive devices in power converters. This paper investigates the effect of components placement on the radiated emissions in printed circuit board (PCB). The goal of this research is to minimize the electromagnetic interference (EMI) on susceptible devices. The optimum design for the location and orientation of the components on the PCB was achieved by a 3D-FE analysis and Genetic Algorithms (GA). A comparison between the optimum and non-optimum PCB designs were simulated and experimentally tested.

In this paper, a performance analysis of a highly integrated, high-performance dc-bus system module is presented. This module introduces a solution for medium & low voltage DC distribution applications. It is designed for applications requiring a single bus solution to control up to twelve DC-sources sharing same dc-bus and having same dc-voltage level. The bus is also designed to interface

ABSTRACT This paper presents a predictive direct torque control PDTC algorithm for induction machine drives including a Sliding Horizon Prediction (SH-PDTC). The selected strategy for the SH-PDTC algorithm was to keep the motor torque and stator flux-linkage within predefined hysteresis bounds while reducing inverter switching losses. The proposed SH-PDTC algorithm shows better performance in torque and stator flux-linkage control in comparison with classical PDTC, without increasing power losses in the inverter. A sensitivity analysis allows to evaluate algorithm performance under parameter uncertainty, and the results show that SH-PDTC keeps torque ripple performance. The paper includes a simulation to verify the PDTC and SH-PDTC algorithms controlling an induction machine, with a standard two level inverter.

— This paper presents a new methodology of active power flow control for a bidirectional inductive wireless power transfer (BIWPT) system in electric vehicle (EV) ancillary services based on the system analytical model. The controller exists on the vehicle side to consider the EV's owner's desire for providing energy to the other sources. The owner is able to choose between three different control modes; Charge, Discharge and Abstain (no interaction). The controller considers the EV's battery state-of-charge (SOC) which is provided by the battery management system (BMS). The control parameters are predicted based on a simple and an accurate analytical model for the BIWPT system. The misalignment effect on the controller performance is considered by adaptively estimating the wireless pads mutual inductance. The proposed controller is implemented and tested by means of simulations and experiments for stationary and quasi-dynamic wireless power transfer situations.