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Indirect Vector Control of an Induction Motor with Fuzzy-Logic based Speed ControllerBIROU, I. , MAIER, V. , PAVEL, S. , RUSU, C. |
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Author keywords
DSP-based computing system, field oriented control, fuzzy speed control, indirect vector control of induction machine
References keywords
control(6), fuzzy(5), drives(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2010-02-27
Volume 10, Issue 1, Year 2010, On page(s): 116 - 120
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.01021
Web of Science Accession Number: 000275458900021
SCOPUS ID: 77954687176
Abstract
The aim of this paper is to present a new speed control structure for induction motors (IM) by using fuzzy-logic based speed controllers. A fuzzy controller is designed to achieve fast dynamic response and robustness for low and high speeds. Different types of membership functions of the linguistic variables and output/input characteristics are analyzed. A simple but robust structure enables a wide range speed control of the driving system. The rotor flux field oriented control (FOC) is realized by using a flux observer based on the IM model with nonlinear parameters. The control is extended to operate also in the field weakening region with an optimal rotor flux regulation. The control structure was implemented on a computer system, based on a fixed point digital signal processor (DSP). To verify the performances of the proposed driving system, simulated and experimental results are presented. |
References | | | Cited By «-- Click to see who has cited this paper |
[1] Leonhard, W., "Control of Electrical Drives", Springer-Verlag, Berlin, 1985 [PermaLink]
[2] Kelemen, A., Imecs, M., "Vector Control of Induction Machine Drives", Vol. 1, OMIKK Publisher, Budapest, 1991 [3] Bose, B. K., "Power Electronics and AC Drives", Prentice Hall, Englewood Cliffs, New Jersey, 1986 [PermaLink] [4] Pedrycz, W., "Fuzzy Control and Fuzzy System", John Wiley & Sons, Chichester, New York, 1989 [5] Kunz, U., "Regelung elektrischer Antriebe", Vorlesungsskript, Univ. of Siegen, Germany, 1992 [6] Wiesner, R. S., "Optimal rotor flux regulation for fast-accelerating induction machines in the field-weakening region", IEEE Transactions on Industry Applications, Vol. 34, No. 5, pp. 1081-1087, 1998 [CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 17] [7] Birou, I., Imecs, M., "Speed control of induction motor drive with fuzzy-logic controller, based on a DSP computing system", Proceedings of the International Symposium on Power Electronics, Electrical Drives, Automation and Motion SPEEDAM'2000, Ischia, Italy, June 13-16, 2000, pp. 19-24, 2000 [8] Wang, L., "Adaptive Fuzzy Systems and Control. Design and Stability Analysis", Prentice Hall, Englewood Cliffs, New Jersey, 1994 [PermaLink] [9] Tilli, T., "Fuzzy-Shell fur Windows", Version 1.2, Franzis-Verlag, Munchen, 1993 [10] * * * ANSIM Simulation Software, Department of Electrical Drives and Control, University of Erlangen-Nurnberg, 1989 Web of Science® Citations for all references: 11 TCR SCOPUS® Citations for all references: 17 TCR Web of Science® Average Citations per reference: 1 ACR SCOPUS® Average Citations per reference: 2 ACR TCR = Total Citations for References / ACR = Average Citations per Reference We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more Citations for references updated on 2024-12-19 10:39 in 9 seconds. Note1: Web of Science® is a registered trademark of Clarivate Analytics. Note2: SCOPUS® is a registered trademark of Elsevier B.V. Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site. |
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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