[Objective] To address the issue of large torque ripple in the direct torque control (DTC) system of brushless DC motor (BLDCM)

this paper proposes a model predictive torque control (MPTC) method based on the open-winding brushless DC motor (OW-BLDCM). [Methods] First

a mathematical model of the OW-BLDCM was established

and the traditional voltage vector set was expanded by introducing a class of single-phase conducting voltage vectors to improve voltage adaptability. Next

based on the conventional DTC switching vector table

when torque needed to be increased

large vectors and single-phase vectors from the corresponding sector were used to increase torque. When torque needed to be reduced

in addition to the corresponding sector’s voltage vector

a model predictive control method was applied to roll and optimize the vector set

selecting the most effective voltage vector. Furthermore

simulation software was used to validate the proposed control method and the motor topology in terms of torque ripple suppression

observing the control effectiveness of torque and other parameters. Finally

physical experiments were conducted on an OW-BLDCM DTC platform. [Results] The results showed that the proposed MPTC method

compared to traditional DTC

achieved a 4.1% improvement in torque ripple suppression under rated operating conditions. The suppression of torque ripple was significantly enhanced at moderate and low speeds. Additionally

the proposed method in this study inherited the fast dynamic response characteristic

with a response time of only 1.706 ms

which was virtually identical to the 1.209 ms response time of DTC. [Conclusion] This study demonstrates that the proposed MPTC method for OW-BLDCM effectively reduces torque ripple and enhances control flexibility

providing a new approach for the efficient control of OW-BLDCM.