Abstract
This paper presents a comparative study of two intelligent techniques to replace conventional comparators and selection table of direct torque control for induction machines, namely fuzzy logic and artificial neural network. The comparison with the conventional direct torque control proves that FL-DTC and NN-DTC reduces the electromagnetic torque ripple, stator flux, and stator current. Simulation results prove the effectiveness and the performances proposed strategies. © 2013 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Douiri, M. R., & Cherkaoui, M. (2013). Intelligence approaches based direct torque control of induction motor. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7824 LNCS, pp. 50–59). Springer Verlag. https://doi.org/10.1007/978-3-642-37213-1_6
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