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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 regulationKeywords: DTC, Induction motor, PI, Fuzzy logic, FLR( Fuzzy logic regulator)
📌 3 Key Takeaways
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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 regulationKeywords: DTC, Induction motor, PI, Fuzzy logic, FLR( Fuzzy logic regulator)
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:DTC · Induction motor · Fuzzy logic
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 regulationKeywords: DTC, Induction motor, PI, Fuzzy logic, FLR( Fuzzy logic regulator)
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Cite This Article
CHIKHI, A., CHIKHI, K., BELKACEM, S. (2012). INDUCTION MOTOR DIRECT TORQUE CONTROL – FUZZY LOGIC CONTRIBUTION. Electrica, Cilt: 10 Sayı: 2, 1207–1212. https://ajindex.com/articles/1017531