JERAJournal of Electronic Research and Application2208-35022208-3510Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jera.v9i3.10814ArticleResearch on Low-Speed Performance Optimization of BLDC without Position Sensors Based on EKFhttps://artdesignp.com/journal/JERA/9/3/10.26689/jera.v9i3.10814LiuWei,WangYakun2025932025-06-06To obtain real-time rotor information of the brushless DC motor, improve the low-speed performance and anti-interference ability of the motor, a sensorless vector control system model of the brushless DC motor was established. A motor control system based on the EKF algorithm was designed. By combining the EKF observer with the brushless DC motor, a simulation model of the EKF motor control system was built based on Simulink. The simulation results show that the motor control system with the EKF observer operates well. The motor’s low-speed operation performance and rotor position detection are very fast, and the motor’s anti-interference ability is significantly enhanced, effectively improving the dynamic performance of the control system [1].

Yu B, 2021, Research on Sensorless Control Technology for Brushless DC Motors at Full Speed Range, dissertation, Harbin Institute of Technology.

Inan R, 2024, An Improved Model Predictive Current Control of BLDC Motor with a Novel Adaptive Extended Kalman Filter–Based Back EMF Estimator and a New Commutation Duration Approach for Electrical Vehicle. International Journal of Circuit Theory and Applications, 53(2): 1135–1150.

Li D, 2021, Low-speed Performance Improvement of Induction Motor Without Speed Sensor based on EKF Vector Control, dissertation, Xi’an University of Technology.

Zheng X, 2021, Research on Sensorless Control Algorithm for BLDC based on Improved Kalman Filtering, dissertation, Harbin Institute of Technology.

Hooshmand M, Yaghobi H, Jazaeri M, 2023, Speed and Rotor Position Estimation for Sensorless Brushless DC Motor Drive based on Particle Filter. Electrical Engineering, 105(3): 1797–1810.

Matyuschenko A, 2015, Mathematical Field Models of Brushless DC Motors with Permanent Magnets and Their Comparative Analysis. Electrical Engineering & Electromechanics, (1): 25–28.

Yingjun S, Zhenglong W, Yuanyuan F, 2025, An Adaptive Extended Kalman Filter Observer for Permanent Magnet Synchronous Motor Position Sensorless Control Systems. Scientific Reports, 15(1): 11605.

Meysam H, Hamid Y, Mostafa J, 2023, Speed and Rotor Position Estimation for Sensorless Brushless DC Motor Drive based on Particle Filter. Electrical Engineering, 105(3): 1797–1810.

Shao J, 2025, Dual-vector model predictive current control for brushless DC motors. Journal of Physics: Conference Series, 2963(1): 012020.

Wang J, 2023, Research on Key technologies for Drive Control of Integrated Brushless DC motors, dissertation, University of Electronic Science and Technology of Xi’an.

Shin Y, Kim K, Cho Y, et al., 2025, Rotor Position Estimation Error Compensation Using Back-EMF Based Sensorless Control for Low-Speed Operation in Washing Machines. Journal of Electrical Engineering & Technology, 20(4): 2497–2507.

Yan X, 2020, Design and Implementation of FOC Control System for Sensorless BLDCM, dissertation, University of Electronic Science and Technology of China.