Feedback signals estimation of an induction machine drive

Authors:
Constantin Apostoaia;Zoltan Szekely;Donald Gray
Affiliations:
Electrical and Computer Engineering Department, Purdue University Calumet, Hammond, IN;Electrical and Computer Engineering Department, Purdue University Calumet, Hammond, IN;Electrical and Computer Engineering Department, Purdue University Calumet, Hammond, IN
Venue:
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Year:
2008

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WSEAS TRANSACTIONS on SYSTEMS

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Abstract

This paper presents the study of flux, torque and speed estimation of an induction machine drive. The d-q model of the induction machine is used to determine the various matrices of the state space representation of the system. The modeling and simulation is carried out by using the MATLAB/Simulink software. Two estimators using the machine voltage and current measurements are analyzed. First estimator is derived by direct synthesis from state equations, and then an optimal extended Kalman filter (EKF) is investigated. The performances of both estimators are presented and good results were obtained for EKF even in the presence of the system and measurements noise.