Learning improvement by using Matlab simulator in advanced electrical machinery laboratory

Abstract

This paper deals with using simulators such as MATLAB/SIMULINK to work on complicated problems in electrical machines. Simulation of direct vector control of induction machine (IM) drive on the rotor flux direction with composite model flux observer can improve electrical machine learning's of graduate and under graduated students, hi the indirect vector control of IM, current reference values are used for the estimation angle of the rotor flux space vector (ARFSV), however using current reference values instead of current real values can decrease accuracy of ARFSV. hi the direct vector control, current real values (current feedback) estimate ARFSV. The ARFSV estimation can be performed by the current model flux observer and voltage model flux observer. These observers have some restrictions. But The composite model reduces disadvantages of every individual ones. In fact, Simulation of the composite model is applied to induction machines to get results compare to the classical current and voltage models. The interesting point is that the composite model approach shows great advantages over those classic ones, i.e. speed control over the wide range of motor operation with enough short settling time. All these remarkable benefits support the application of composite model in ARFSV. © 2010 Published by Elsevier Ltd.