Nature

Torque and speed prediction of a brushless direct current motor using nonlinear autoregressive with exogenous inputs and neural network

Brushless DC (BLDC) motors are widely used in industrial applications due to their high efficiency and performance. However, accurately predicting key parameters such as torque and speed remains a ...
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) ...
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 ...
Electronic Design

Sensorless BLDC Driver First to Support Full Torque at Zero Speed

Brushless DC (BLDC) motors offer many operating attributes in performance and controllability, but they may require a position (rotation) sensor such as an encoder, resolver, or Hall-effect device to ...