Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Gandhi, Raja
Unknown Affiliation
Control & Systems Engineering Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
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.
Modified firefly-optimized PI controller for BLDC motor performance under New European Driving Cycle conditions Bhattacharya, Dibyadeep; Gandhi, Raja; Kumar, Chandan; Sherpa, Karma Sonam; Roy, Rakesh
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i1.pp140-154

Abstract

This paper presents the application of a modified firefly algorithm (MFA) for tuning the proportional-integral (PI) speed controller of a brushless direct current (BLDC) motor drive, targeting improved overall dynamic performance of the motor drive system for electric vehicle (EV) applications. The controller’s effectiveness is evaluated under two variants of the New European Driving Cycle (NEDC) to replicate real-world driving scenarios. To validate the effectiveness of the proposed approach, a comparative study is carried out with two widely used optimization techniques, such as the standard firefly algorithm (FA) and particle swarm optimization (PSO). Comparative analysis reveals that the MFA-tuned controller delivers superior speed tracking accuracy, with significantly reduced speed error, speed ripple, and copper losses, when compared to controllers optimized using the standard firefly algorithm (FA) and particle swarm optimization (PSO). These improvements enhance both the energy efficiency and operational stability of the motor drive. Furthermore, the result of the experiment shows that the proposed controller demonstrates strong adaptability under varying load and speed conditions, positioning it as a robust solution for both electric vehicles and industrial motor control applications.
Co-Authors Banik, Arpita Bhattacharya, Dibyadeep Chandan Kumar, Chandan Mishra, Achyuta Nand Roy, Rakesh Sherpa, Karma Sonam