A Triple Closed-Loop Control System for a Sensorless Brushless DC Motor Based on Unscented Kalman Filtering

To address the issue of inaccurate observations caused by system noise and measurement errors in traditional back electromotive force (EMF) methods for sensorless control of brushless DC motors (BLDCs), this paper designs a triple-loop control system for BLDCs with rotor position correction on the basis of an analysis of the unscented Kalman filter (UKF) algorithm. A comprehensive system model is established via MATLAB/Simulink software, and the simulation results verify that the triple-loop control system effectively optimizes the torque ripple. Additionally, the application of the UKF in BLDC systems allows for precise estimation of the rotor position and speed, leading to significant improvements in accurate commutation and suppression of the commutation torque ripple.