Modeling and simulation of induction machine vector control with rotor resistance identification

Scott Wade, Matthew W. Dunnigan, Barry W. Williams

Research output: Contribution to journalArticle

110 Citations (Scopus)

Abstract

This paper shows that it is possible to use currently 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. © 1997 IEEE.

Original languageEnglish
Pages (from-to)495-506
Number of pages12
JournalIEEE Transactions on Power Electronics
Volume12
Issue number3
Publication statusPublished - 1997

Keywords

  • Induction machines
  • Modeling
  • Parameter estimation
  • Simulation
  • Vector control

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