Abstract : The main drawbacks of classical direct torque control (C-DTC) are: the high torque and flux ripples and variable switching frequency. To overcome these problems, two intelligent control theories, namely fuzzy logic control (FLC) and neuro-fuzzy control (NFC) are introduced to replace the hysteresis comparators and lookup table of the C-DTC for induction motor drive. The effectiveness and feasibility of the proposed approaches have been demonstrated through computer simulations. A comparison study between the C-DTC, FL-DTC and NF-DTC has been made in order to confirm the validity of the proposed schemes. The superiority of the NF-DTC has been proved through comparative simulation results.
Harris Papadopoulos; Andreas S. Andreou; Lazaros Iliadis; Ilias Maglogiannis. 9th Artificial Intelligence Applications and Innovations (AIAI), Sep 2013, Paphos, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-412, pp.225-234, 2013, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-41142-7_23〉
https://hal.inria.fr/hal-01459614
Contributeur : Hal Ifip
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Soumis le : mardi 7 février 2017 - 13:05:03
Dernière modification le : vendredi 1 décembre 2017 - 01:16:35
Document(s) archivé(s) le : lundi 8 mai 2017 - 14:05:56
Moulay Douiri, Mohamed Cherkaoui. Induction Motor Control Using Two Intelligent Algorithms Analysis. Harris Papadopoulos; Andreas S. Andreou; Lazaros Iliadis; Ilias Maglogiannis. 9th Artificial Intelligence Applications and Innovations (AIAI), Sep 2013, Paphos, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-412, pp.225-234, 2013, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-41142-7_23〉. 〈hal-01459614〉
