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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Durgasukumar, Gadwala
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Control & Systems Engineering Electrical & Electronics Engineering

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A review on soft computing techniques used in induction motor drive application Durgasukumar, Gadwala; Prasad, Repana Ramanjan; Gorantla, Srinivasa Rao
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp753-768

Abstract

In this paper, hybrid models based on fuzzy systems and neural networks are reviewed. A fuzzy inference system is explicitly represented by expertise for induction motor drives, incorporating the learning capability of artificial neural networks. Researchers have been attracted to neuro-fuzzy techniques for training and inference in induction motor drives due to their efficiency. According to the classification of research articles from 2000 to 2020, this article presents a review of different artificial neural network techniques, fuzzy and neuro-fuzzy systems. The main objective is to provide a concise overview of current neuro-fuzzy research and to enable readers to identify appropriate methods according to their research interests. 
Co-Authors Gorantla, Srinivasa Rao Prasad, Repana Ramanjan