Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{188858,
author = {Himani Wasudev khawashi and Sanket Pundlikrao Thakre and Archana Ramkrishna Nikhar and Mahendrasing Arjunsing Gurunasingani},
title = {Advanced Control for Electric Motors},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {7},
pages = {3653-3654},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=188858},
abstract = {Advanced control techniques for electric motors have gained significant importance due to increasing demands for high efficiency, fast dynamic response, robustness, and reduced energy consumption in applications such as electric vehicles, robotics, and industrial automation. Conventional PI and PID controllers often fail to deliver optimal performance under nonlinear operating conditions, parameter variations, and load disturbances. This paper presents an in-depth study of advanced control strategies including Field-Oriented Control (FOC), Direct Torque Control (DTC), Model Predictive Control (MPC), and Artificial Intelligence (AI)-based control techniques. Comparative analysis, applications, challenges, and future research directions are discussed to provide insight into next-generation electric drive systems.},
keywords = {Advanced control, electric motors, electric drives, field-oriented control, model predictive control.},
month = {December},
}
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry