Volume 14, Issue 1 (March 2018)                   IJEEE 2018, 14(1): 85-94 | Back to browse issues page

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Benbouhenni H. Seven-Level Direct Torque Control of Induction Motor Based on Artificial Neural Networks with Regulation Speed Using Fuzzy PI Controller. IJEEE 2018; 14 (1) :85-94
URL: http://ijeee.iust.ac.ir/article-1-1189-en.html
Seven-Level Direct Torque Control of Induction Motor Based on Artificial Neural Networks with Regulation Speed Using Fuzzy PI Controller
H. Benbouhenni
Abstract:   (4667 Views)
In this paper, the author proposes a sensorless direct torque control (DTC) of an induction motor (IM) fed by seven-level NPC inverter using artificial neural networks (ANN) and fuzzy logic controller. Fuzzy PI controller is used for controlling the rotor speed and ANN applied in switching select stator voltage. The control method proposed in this paper can reduce the torque, stator flux and total harmonic distortion (THD) value of stator current, and especially improve system good dynamic performance and robustness in high and low speeds.
Keywords: DTC , IM , Seven-Level NPC Inverter , ANN , Fuzzy PI , THD
Full-Text [PDF 764 kb]   (2369 Downloads)    
Type of Study: Research Paper | Subject: Robust Control
Received: 2017/11/13 | Revised: 2018/03/02 | Accepted: 2018/02/16
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.