This paper represents the performance of a squirrel-cage High Temperature Superconducting Induction/ Synchronous Motor (HTS-ISM) based on nonlinear electrical equivalent circuit. The structure of the HTS-ISM is the same as that of the squirrel-cage type induction machine, and the secondary windings are fabricated by the use of the HTS wires. It has already been shown that based on the experimen...

AbstractThis paper is aimed at investigating the steady state and transient analysis behaviour of a squirrel cage induction generator of wind farm connected to a variable stiffness grid using MATLAB/SIMULINK. Different types of faults including three-phase-to-ground, double-line-toground, line-line and single-line-to-ground are studied. The calculated temporal variations of speed, voltage, acti...

The paper describes a variable speed wind generation system where fuzzy logic principles are used for efficiency optimization and performance enhancement control. A squirrel cage induction generator feeds the power to a double-sided pulse width modulated converter system which pumps power to a utility grid or can supply to an autonomous system. The generation system has fuzzy logic control with...

In this paper, we propose an off-the-grid compressive sensing based method to detect brokenbar fault in squirrel-cage induction motors. To validate our method, we first build a dynamic model of squirrel-cage induction motor using multi-loop equivalent circuit to simulate motor current under fault conditions. We then develop an off-the-grid compressive sensing algorithm to extract the fault char...

Parameters estimation; Induction motor; Squirrel-cage; Artificial neural network; Adaptive neuro-fuzzy inference system Abstract In the transient behavior analysis of a squirrel-cage induction motor, the parameters of the single-cage and double-cage models are studied. These parameters are usually hard to obtain. This paper presents two new methods to predict the induction motor parameters in t...

The detection of broken rotor bars in three-phase squirrel cage induction motors by means of current signature analysis is presented. In order to diagnose faults, a Neural Network approach is used. At first the data of different rotor faults are achieved. The effects of different rotor faults on current spectrum, in comparison with other fault conditions, are investigated via calculating Power ...

An existing bond graph of a squirrel cage induction motor was modified to make the bond graph physically more representative. The intent was to form a one-to-one correspondence between motor components and bond graph elements. Components explicitly represented include the stator coils, the squirrel cage rotor bars, and the magnetic flux routing section. The final bond graph spans electrical, ma...