Torque Enhancement of BLDC Motor Considering Iron Loss: Modeling and Compensation Approach

This paper explores the effects of iron loss on Permanent Magnet Brushless DC motor (BLDCM) performance and compares two of the most popular compensation techniques to improve torque. Iron loss significantly impacts the efficiency and performance of BLDC motors, particularly in high-speed applications. By incorporating iron loss into a detailed motor model, the study aims to accurately predict performance and develop effective compensation strategies. Simulation results validate the comparison of the proposed methods namely Model Predictive Control (MPC) and Field Oriented Control (FOC) based on improvements in torque output. The findings demonstrate the robustness and accuracy of the Model Predictive Control (MPC) system over conventional Field Oriented Control (FOC) under varying load and speed conditions. This research underscores the importance of considering iron losses for optimizing BLDC motor efficiency, especially in electric vehicle applications.