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Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2010 / Cilt: 10 - Sayı: 2

Induction motor direct torque control – fuzzy logic contribution

Sebti BELKACEM
Khaled CHIKH
Abdeslem CHIKHI
Pages
1207–1212
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results obtained, using a fuzzy logic, shows the importance of this method in the improvement of the performance of such regulation

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this article we present the simulation results of the induction motor speed regulation by the direct torque control with a classic PI regulator.
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Key Findings & Data:The MATLAB SIMULINK programming environment is used as a simulation tool.
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Conclusion & Impact:The results obtained, using a fuzzy logic, shows the importance of this method in the improvement of the performance of such regulation
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this article we present the simulation results of the induction motor speed regulation by the direct torque control with a classic PI regulator. The MATLAB SIMULINK programming environment is used as a simulation tool. The results obtained, using a fuzzy logic, shows the importance of this method in the improvement of the performance of such regulation

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Cite This Article

BELKACEM, S., CHIKH, K., CHIKHI, A. (2022). Induction motor direct torque control – fuzzy logic contribution. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 10 - Sayı: 2, 1207–1212. https://ajindex.com/articles/543706

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References (1)

  1. M.T.Cao, "Commande numérique de machine asynchrone par logique floue, "Thèse de Phd de l’université Laval-Quebec, decembre 1997 [2] M. Elbuluk, "Torque ripple minimization direct torque control of induction machines", University of Akron, 2003. [3] C.Elmoucary,"Contribution à l’étude de la commande directe de couple et du flux de la machine à induction", Thèse de doctorat, university Paris IX, 2000 [4] E.Mamdani, "An experiment in linguistic synthesis with a fuzzy logic controller", Intrnational journal on man- machine studies, vol. 07, pp. 1-13, 1975. [5] L.A.Zadeh, "Fuzzy sets," Information and control, vol. 8, pp. 338-353, 1965. [6] N. Essounbouli, A. Hamzaoui, " Direct and indirect robust adaptive fuzzy controllers for a class of nonlinear system". International Journal of control, Automation and, Systems, 4(2):146- 154, 2006