Research on commutation torque ripple suppression strategy of BLDCM based on iterative learning
Jiong Zhang1, Shaofei Chen2, Lihua Liu3
COMPUTER MODELLING & NEW TECHNOLOGIES 18(5) 288-296
1School of Vocational and Technical Education, Guangxi University of Science and Technology, 268 Dong Huan Road, Liuzhou Guangxi China
2Engineering Training Center, Guangxi University of Science and Technology, 268 Dong Huan Road, Liuzhou Guangxi China
3College of Science, Guangxi University of Science and Technology, 268 Dong Huan Road, Liuzhou Guangxi China
Brushless DC motor (BLDCM) is the DC motor which uses electronic commutation instead of mechanical commutation. The torque ripple caused by mechanical structure of the motor is small, while the torque ripple during the commutation is about 50% of the average torque. By analysing the unique features of commutation torque ripple, we can obtain the relationship between the commutation current and torque ripple. The current ripple can be suppressed through adding voltage compensation of the three-phase bridge inverter circuit. Then the commutation torque ripple suppression strategy based on iterative learning was raised in this paper. With the MATLAB Simulink platform, BLDCM simulation models, which based on the iterative learning are established and simulation contrast experiments of open or closed-loop iterative P-type with or without adding the voltage compensation have been designed to test and verify the effectiveness of the suppression strategy.