This work provides a brief summary of a study that focuses on reducing torque fluctuations in brushless DC (BLDC) permanent magnet motor drives. The study proposes the use of novel fuzzy logic-based modulation approaches to manage the voltage and current of the DC-link. Torque ripple is a significant concern in BLDC motors due to its adverse impact on system performance, efficiency, and reliability. Conventional control methods often struggle to effectively suppress torque ripple. In response, this study proposes a novel approach utilizing fuzzy logic-based control schemes to precisely and adaptively modulate the DC-link voltage and current. The method involves employing fuzzy logic controllers to dynamically adjust the DC-link parameters in real time, resulting in a more refined and responsive control strategy. Fuzzy logic allows the system to consider various operational conditions and input variables, offering an effective means of minimizing torque ripple while maintaining efficient motor performance.