A review on soft computing techniques used in induction motor drive application

Gadwala Durgasukumar, Repana Ramanjan Prasad, Srinivasa Rao Gorantla


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.



ANFIS; artificial neural networks; induction motor; type-2 fuzzy; type-2 neuro-fuzzy

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DOI: http://doi.org/10.11591/ijpeds.v15.i2.pp753-768


Copyright (c) 2024 Ramanjan prasad Repana, Gadwala durga sukumar, srinivasa rao gorantla

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