Electromagnetic interference (EMI) is one of the main issues in Brushless Direct Current (BLDC) motors, which harms efficiency, reliability, and international EMI regulations. Traditional methods of suppression are not always flexible and deteriorate performance, which requires solutions of high quality. To solve this, a new system, Enhanced EMI Resilience Optimization System (EEROS), is proposed, which combines three new methods: Active Common Mode Swarm-Enhanced EMI Mitigation System (ACS-EMS), Adaptive Power Management EMI Control System (APM-ECS), and Adaptive Spread Spectrum-Filtered Genetic EMI Suppression (ASSF-GES). These techniques use Spread Spectrum Modulation (SSM), Active EMI Filters (AEF), Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Dynamic Frequency Modulation (DFM) to create dynamic suppression of high-frequency EMI and motor efficiency of 98%, thermal stability of 59℃, and responsiveness of 98%. The paper also analyses how the variations of control parameters affect the EMI suppression and performance trade-offs and proves the existence of a strong and high-efficiency mitigation framework. The proposed system offers a scalable solution to automotive, industrial and aerospace applications and has better EMI resilience, regulatory compliance and operational reliability.
Kayalvizhi et al. (Wed,) studied this question.