%0 Journal Article
%T Speed Estimation of Induction Motor Using Model Reference Adaptive System with Kalman Filter
%A Pavel Brandstetter
%A Marek Dobrovsky
%J Advances in Electrical and Electronic Engineering
%D 2013
%I Technical University of Ostrava
%X The paper deals with a speed estimation of the induction motor using observer with Model Reference Adaptive System and Kalman Filter. For simulation, Hardware in Loop Simulation method is used. The first part of the paper includes the mathematical description of the observer for the speed estimation of the induction motor. The second part describes Kalman filter. The third part describes Hardware in Loop Simulation method and its realization using multifunction card MF 624. In the last section of the paper, simulation results are shown for different changes of the induction motor speed which confirm high dynamic properties of the induction motor drive with sensorless control.
%K Hardware in loop simulation
%K induction motor
%K Kalman filter
%K model reference adaptive system
%K sensorless control.
%U http://advances.utc.sk/index.php/AEEE/article/view/802