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Conference Papers Year : 2013

Induction Motor Control Using Two Intelligent Algorithms Analysis

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.
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hal-01459614 , version 1 (07-02-2017)

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Moulay Rachid Douiri, Mohamed Cherkaoui. Induction Motor Control Using Two Intelligent Algorithms Analysis. 9th Artificial Intelligence Applications and Innovations (AIAI), Sep 2013, Paphos, Greece. pp.225-234, ⟨10.1007/978-3-642-41142-7_23⟩. ⟨hal-01459614⟩
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