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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  1/2011 - 12

Performances of Gopinath Flux Observer Used in Direct Field Oriented Control of Induction Machines

CRACIUNAS, G. See more information about CRACIUNAS, G. on SCOPUS See more information about CRACIUNAS, G. on IEEExplore See more information about CRACIUNAS, G. on Web of Science
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Download PDF pdficon (574 KB) | Citation | Downloads: 1,969 | Views: 3,830

Author keywords
two-phase induction machine, direct field oriented control, Gopinath flux observer, adaptive estimation, Matlab/Simulink

References keywords
No relevant keywords could be extracted from the references.

About this article
Date of Publication: 2011-02-27
Volume 11, Issue 1, Year 2011, On page(s): 73 - 76
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.01012
Web of Science Accession Number: 000288761800012
SCOPUS ID: 79955958375

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In this paper there are outlined the automatic speed adjusting control system performances of a two-phase induction machine (TPIM) with direct field oriented control and using adaptive methods for the estimation of the rotoric flux spatial vector. Starting from the linear model of the two-phase induction machine, there are studied in comparison two solutions used in automatic speed adjusting control: one using the deduction of the spatial vector components of the rotoric flux by indirect field determination and the second using adaptive methods for rotoric flux spatial vector estimation from the two-phase components of the stator voltage and current. Thus there are emphasized the performances of the reduced order Gopinath observer. The operation of the automatic speed adjusting control system, based on solid adaptive estimation of the rotoric flux and indirect determination of the field, was studied using Matlab/SIMULINK real time simulation.

References | Cited By  «-- Click to see who has cited this paper

[1] T. Pana, "MATLAB in sisteme de actionare electrica automata, Universitatea Tehnica din Cluj Napoca, 1995.

[2] A. Kelemen, Maria Imecs. "Sisteme de reglare cu orientare dupa camp ale masinilor de curent alternativ", Editura Academiei, Bucuresti, 1989.

[3] G. Craciunas, "Dynamic flux observers for two-phase induction motor speed control", Wseas Transactions on Circuits and Systems, Issue 11, Volume 5, November 2006.

[4] I. A. Viorel, V. Iancu, "Masini si actionari electrice, Litografia U.T., Cluj-Napoca, 1990.

[5] C. Ilas, V. Bostan, " Algoritmi de reglare vectoriala fara senzori mecanici pentru masinile asincrone", Editura Matrix Rom, Bucuresti, 2006.

[6] A. Kelemen, Maria Imecs, "Vector Control of Induction Machine Drives", OMIKK Publischer, Budapest, 1992.

[7] D. W. Novotny, R. D. Lorenz, "Introduction to Field Orientation and High Performance AC Drives", Tutorial book from 1985 & 1986, IEEE-IAS Annual Meetings.

[8] Y. Hori, T. Umeno, "Flux observer based field orientation controller for high performance torque control", Proc. IPEC -Tokyo, 1990, pp. 1219-1226.

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