DocumentCode
1506022
Title
Modeling and simulation of induction machine vector control with rotor resistance identification
Author
Wade, Scott ; Dunnigan, Matthew W. ; Williams, Barry W.
Author_Institution
Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK
Volume
12
Issue
3
fYear
1997
fDate
5/1/1997 12:00:00 AM
Firstpage
495
Lastpage
506
Abstract
This paper shows that it is possible to use available commercial software to model and simulate a vector-controlled induction machine system. The components of a typical vector control system are introduced and methods given for incorporating these in the MATLAB/SIMULINK software package. The identification of rotor resistance is important in vector control, if high-performance torque control is needed, and modeling of the extended Kalman filter (EKF) algorithm for parameter identification is discussed. It is certainly advisable, when feasible, to precede implementation of new algorithms, whether for control or identification purposes, with an extensive simulation phase. Additionally, a technique for generating pulse-width modulation (PWM) phase commands to extend machine operation to higher speeds before field weakening occurs is simulated in a vector-controlled induction machine, driven by a PWM inverter. This demonstrates the versatility of the vector-controlled induction machine system model
Keywords
Kalman filters; digital simulation; electric machine analysis computing; electric resistance; induction motors; machine control; parameter estimation; pulse width modulation; rotors; simulation; torque control; MATLAB/SIMULINK software package; PWM phase commands generation; extended Kalman filter; field weakening; high-performance torque control; induction machine vector control; induction motor control; modeling; rotor resistance identification; simulation; Induction generators; Induction machines; MATLAB; Machine vector control; Mathematical model; Parameter estimation; Pulse generation; Pulse width modulation inverters; Software packages; Torque control;
fLanguage
English
Journal_Title
Power Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0885-8993
Type
jour
DOI
10.1109/63.575677
Filename
575677
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