| MS TSA Meeting

Name of the Speaker: Ms. ARUNI J (EE18S072)
Guide: Dr. Kamalesh Hatua
Online meeting link: http://meet.google.com/aqw-dtyv-ruq
Date/Time: 8th October 2025 (Wednesday), 03:00 PM
Title: Torque enhancement of Induction Motor at minimum stator current during overload condition using partial magnetic saturation integrated with rotor resistance variation.

Abstract :

As the world transitions towards clean energy, the demand for electric vehicles (EVs) continues to rise. The performance of EVs largely depends on the effective selection of the motor and the efficiency of the control system. While PMSM motors are currently favored for their efficiency, induction motors possess inherent advantages such as ruggedness, better short-circuit behavior, and reliability. The potential to enhance the efficiency of these motors through the inclusion of copper rotor bars and improved lamination offers a hopeful prospect for the automotive industry. Induction motors (IM) are preferred for high-performance pure EVs but face challenges like low efficiency and variations in rotor resistance. This thesis proposes a modified field-oriented control to tackle these issues. It focuses on optimizing the motor’s performance under overload conditions, which can cause an increase in rotor temperature, leading to resistance variations. The algorithm deliberately saturates the induction motor during overloads and employs a modified Maximum Torque per Ampere (MTPA) method to optimize stator current for higher torque output. Additionally, an adaptive rotor resistance control algorithm maintains system stability. A saturated induction motor model is also developed in this process. The developed algorithm is verified for a 5.5 kW, 4-pole induction machine in a simulation environment.A control board cum real-time simulator, featuring a high-speed microcontroller, TMS320F28379D, has been developed. The performance of the control board is validated through the implementation of a V/f control algorithm and real-time simulation of DC motor control. This platform allows for real-time simulation of high-power systems and the control algorithm implementation for driving hardware. The real-time simulation feature provides reassurance of the system’s viability before hardware implementation.