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

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Speed control of 3-phase induction motor with modified DTC using HTAF-ANN Banik, Arpita; Gandhi, Raja; Kumar, Chandan; Mishra, Achyuta Nand; Roy, Rakesh
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i4.pp2197-2211

Abstract

In this research paper, an artificial neural network (ANN) algorithm is implemented with modifications to enhance the performance of a direct torque controlled (DTC) induction motor drive. Since the main challenge in the conventional DTC technique is to tune the PI controller appropriately therefore in this work, an ANN technique is incorporated in place of the conventional PI controller. Sudden changes in speed and loading in induction motor drives lead to sharp fluctuations and disturb the motor performance. In order to overcome these issues, a trained ANN controller is initially used here to enhance motor drive performance. Subsequently, the performance is further improved by modifying the activation function in the ANN controller. Here, motor parameters at rated and variable speed with various loading conditions have been analyzed and compared for the DTC with a conventional PI controller with ANN, and a proposed ANN controller. Simulation of the complete model with the conventional and proposed controllers is done using MATLAB/Simulink platform to observe the various speed responses for different conditions, and the experimental setup is used to demonstrate the effectiveness and performance of the proposed system.
Co-Authors Banik, Arpita Chandan Kumar, Chandan Mishra, Achyuta Nand Roy, Rakesh