Higher performance enhancement of direct torque control by using artificial neural networks for doubly fed induction motor-Reference-Cited by-同舟云学术

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Higher performance enhancement of direct torque control by using artificial neural networks for doubly fed induction motor

Published:2024-06 Issue: Volume:8 Page:100537
ISSN:2772-6711
Container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy
language:en
Short-container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy

Author:

Mahfoud Said,Ouanjli Najib El^ORCID,Derouich Aziz,Idrissi Abderrahman El^ORCID,Hilali Abdelilah,Chetouani Elmostafa^ORCID

Publisher

Elsevier BV

Reference48 articles.

1. Stator fault analysis of three-phase induction motors using information measures and artificial neural networks;Bazan;Electric Power Syst. Res.,2017

2. Fault detection and diagnosis in electric motors using 1D convolutional neural networks with multi-channel vibration signals;Junior;Measurement,2022

3. Online inductance estimation of pm-assisted synchronous reluctance motor using artificial neural network;Karami-Shahnani,2023

4. Modelling and comparative analysis of ANN and PID controllers with MFB applied to HESS of electric vehicle;Katuri;SN Appl. Sci.,2019

5. Ant-colony optimization-direct torque control for a doubly fed induction motor: an experimental validation;Mahfoud;Energy Rep.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. New Opportunities in Real-Time Diagnostics of Induction Machines;Energies;2024-07-03

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