Volume 2 Number 5 (Oct. 2010)
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IJCEE 2010 Vol.2 (5): 935-942 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2010.V2.255

Simulation of Induction Machine Drive by Composite Model Flux Observer

Morteza Fazly and Seyed Zeinolabedin Moussavi

Abstract—This paper presents a robust simulation of direct vector control of induction machine (IM) drive on the rotor flux direction with composite model flux observer. In the indirect vector control of IM, current reference values are used for estimation angle of the rotor flux space vector (ARFSV), however using current reference values instead of current real values can decrease accuracy of ARFSV. In the direct vector control, current real values (current feedback) estimate the ARFSV. ARFSV estimation can be performed by current model flux observer and voltage model flux observer. These observers have their own limitations. The composite model reduces disadvantages of every individual ones. Simulation of composite model is applied to induction machines and obtained results compare to the classical current and voltage models. The composite model approach shows great advantages over those classic ones, a.e. speed control over wide range of motor operation and enough short settling time. All these remarkable advantages support application of composite model in ARFSV.

Index Terms—Direct Control, Induction Machine (IM) drive, Composite Model Flux Observer, Estimation angle of the rotor flux space vector.

Morteza Fazly is with the Electrical Engineering Department, Sharif University of Technology, Tehran, Iran. (e-mail: fazly@ee.sharif.ir).
Seyed. Z. Moussavi is with the Electrical Engineering Department, Shahid Rajaee Teacher Training University, Tehran, Iran (e-mail: smoussavi@srttu.edu).

Cite: Morteza Fazly and Seyed Zeinolabedin Moussavi, "Simulation of Induction Machine Drive by Composite Model Flux Observer," International Journal of Computer and Electrical Engineering vol. 2, no. 5, pp. 935-942, 2010.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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