Nature

Adaptive speed control of BLDC motors for enhanced electric vehicle performance using fuzzy logic

This study investigates the use of a closed-loop speed control approach based on fuzzy logic for brushless DC (BLDC) motors in Electric Vehicle (EV) applications. The primary objective is to overcome ...
Nature

Design of sliding mode model predictive dual-loop control through self-learning strategy to mitigate the torque ripple in BLDC motor for electric vehicles

This study investigates a novel dual-loop control strategy that combines sliding mode and model predictive controllers to reduce torque ripple in high-performance Brushless Direct Current (BLDC) ...
SignalSCV

72V 2000W High Torque BLDC Motor for Robotics and EV Applications

Most known for their versatility, electric motors have revolutionised the way we view the core definition of power, qualifying it as effective energy expenditure concerning work done over time. Among ...
Electronic Design

How to Control Brushless Motors (Part 5): Choosing a Motor-Control IC

Overview of the different components of brushless DC (BLDC) motor control from position control to PWM switching. Differences between torque, velocity, and position-control ICs for BLDC motors, and ...