A Reverse Fuzzy Modelling for Vector Control of Induction Machine

L. Barazane; M. Louri; S. Amamra; A. Khwaldeh

doi:10.1109/PowerEng.2013.6635768

A Reverse Fuzzy Modelling for Vector Control of Induction Machine

L. Barazane, M. Louri, S. Amamra, A. Khwaldeh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The aim of this paper consists on presenting a novel approach of vector control of an induction motor based on the approach of fuzzy modelling proposed by Ben-Glalia. In fact, the authors introduce here and for the first time the fuzzy modelling technique of Ben-Ghalia et al. in order to conceive a simple reverse model which to replace the bloc of FOC and ensure more robustness towards parameter variations and uncertainties which represent the inconvenient of the vector control technique. The objective of such a reverse fuzzy model is to improve the robustness of the vector control scheme towards parameter's variations and external disturbances. Unfortunately, in practice this is not checked because of uncertainties in the model. The simulation results show that the two control schemes provide in their basic configuration, comparable performances regarding the decoupling, however the choice for the fuzzy vector control appears advantageous of point of view robustness.

Original language	English
Title of host publication	Proceedings of 2013 4th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2013
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1123-1129
Number of pages	7
ISBN (Print)	9781467363921
DOIs	https://doi.org/10.1109/PowerEng.2013.6635768
Publication status	Published - 21 Oct 2013
Externally published	Yes
Event	4th International Conference on Power Engineering, Energy and Electrical Drives - Istanbul, Turkey Duration: 13 May 2013 → 17 May 2013 Conference number: 4 http://www.powereng2013.org/

Publication series

Name	International Conference on Power Engineering, Energy and Electrical Drives
Number	4
ISSN (Print)	2155-5516
ISSN (Electronic)	2155-5532

Conference

Conference	4th International Conference on Power Engineering, Energy and Electrical Drives
Abbreviated title	POWERENG 2013
Country/Territory	Turkey
City	Istanbul
Period	13/05/13 → 17/05/13
Internet address	http://www.powereng2013.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/PowerEng.2013.6635768Licence: Unspecified

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Barazane, L., Louri, M., Amamra, S., & Khwaldeh, A. (2013). A Reverse Fuzzy Modelling for Vector Control of Induction Machine. In Proceedings of 2013 4th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2013 (pp. 1123-1129). [6635768] (International Conference on Power Engineering, Energy and Electrical Drives; No. 4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PowerEng.2013.6635768

Barazane, L. ; Louri, M. ; Amamra, S. et al. / A Reverse Fuzzy Modelling for Vector Control of Induction Machine. Proceedings of 2013 4th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2013. Institute of Electrical and Electronics Engineers Inc., 2013. pp. 1123-1129 (International Conference on Power Engineering, Energy and Electrical Drives; 4).

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title = "A Reverse Fuzzy Modelling for Vector Control of Induction Machine",

abstract = "The aim of this paper consists on presenting a novel approach of vector control of an induction motor based on the approach of fuzzy modelling proposed by Ben-Glalia. In fact, the authors introduce here and for the first time the fuzzy modelling technique of Ben-Ghalia et al. in order to conceive a simple reverse model which to replace the bloc of FOC and ensure more robustness towards parameter variations and uncertainties which represent the inconvenient of the vector control technique. The objective of such a reverse fuzzy model is to improve the robustness of the vector control scheme towards parameter's variations and external disturbances. Unfortunately, in practice this is not checked because of uncertainties in the model. The simulation results show that the two control schemes provide in their basic configuration, comparable performances regarding the decoupling, however the choice for the fuzzy vector control appears advantageous of point of view robustness.",

keywords = "induction motor, reverse fuzzy modeling, Vector control",

author = "L. Barazane and M. Louri and S. Amamra and A. Khwaldeh",

year = "2013",

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Barazane, L, Louri, M, Amamra, S & Khwaldeh, A 2013, A Reverse Fuzzy Modelling for Vector Control of Induction Machine. in Proceedings of 2013 4th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2013., 6635768, International Conference on Power Engineering, Energy and Electrical Drives, no. 4, Institute of Electrical and Electronics Engineers Inc., pp. 1123-1129, 4th International Conference on Power Engineering, Energy and Electrical Drives, Istanbul, Turkey, 13/05/13. https://doi.org/10.1109/PowerEng.2013.6635768

A Reverse Fuzzy Modelling for Vector Control of Induction Machine. / Barazane, L.; Louri, M.; Amamra, S. et al.

Proceedings of 2013 4th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2013. Institute of Electrical and Electronics Engineers Inc., 2013. p. 1123-1129 6635768 (International Conference on Power Engineering, Energy and Electrical Drives; No. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Louri, M.

AU - Amamra, S.

AU - Khwaldeh, A.

N1 - Conference code: 4

PY - 2013/10/21

Y1 - 2013/10/21

N2 - The aim of this paper consists on presenting a novel approach of vector control of an induction motor based on the approach of fuzzy modelling proposed by Ben-Glalia. In fact, the authors introduce here and for the first time the fuzzy modelling technique of Ben-Ghalia et al. in order to conceive a simple reverse model which to replace the bloc of FOC and ensure more robustness towards parameter variations and uncertainties which represent the inconvenient of the vector control technique. The objective of such a reverse fuzzy model is to improve the robustness of the vector control scheme towards parameter's variations and external disturbances. Unfortunately, in practice this is not checked because of uncertainties in the model. The simulation results show that the two control schemes provide in their basic configuration, comparable performances regarding the decoupling, however the choice for the fuzzy vector control appears advantageous of point of view robustness.

AB - The aim of this paper consists on presenting a novel approach of vector control of an induction motor based on the approach of fuzzy modelling proposed by Ben-Glalia. In fact, the authors introduce here and for the first time the fuzzy modelling technique of Ben-Ghalia et al. in order to conceive a simple reverse model which to replace the bloc of FOC and ensure more robustness towards parameter variations and uncertainties which represent the inconvenient of the vector control technique. The objective of such a reverse fuzzy model is to improve the robustness of the vector control scheme towards parameter's variations and external disturbances. Unfortunately, in practice this is not checked because of uncertainties in the model. The simulation results show that the two control schemes provide in their basic configuration, comparable performances regarding the decoupling, however the choice for the fuzzy vector control appears advantageous of point of view robustness.

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Barazane L, Louri M, Amamra S, Khwaldeh A. A Reverse Fuzzy Modelling for Vector Control of Induction Machine. In Proceedings of 2013 4th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2013. Institute of Electrical and Electronics Engineers Inc. 2013. p. 1123-1129. 6635768. (International Conference on Power Engineering, Energy and Electrical Drives; 4). doi: 10.1109/PowerEng.2013.6635768

A Reverse Fuzzy Modelling for Vector Control of Induction Machine

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