A Maximum Torque Per Ampere Control Strategy for Brushless DC Motor Based on Direct Torque Control

In order to obtain the fast response ability of torque and realize the high-efficiency operation of brushless DC motor with low copper loss, this paper proposes a maximum torque per ampere control strategy based on direct torque control. When the zero-crossing phase current and the zero-crossing same-direction phase current are distributed according to the theoretical current comparison coefficient, the torque per ampere can be maximized. The control system simultaneously controls the electromagnetic torque and zero-crossing phase current, and then queries the switch state lookup table according to the state of the two hysteresis controllers. The feasibility of the algorithm is verified by MATLAB/Simulink simulation.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/icpee64457.2024.10949938
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.00

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article

A Maximum Torque Per Ampere Control Strategy for Brushless DC Motor Based on Direct Torque Control

Zhenguo Li, Shifang Hai, Zhisong Zhang, Tao Wen
Sensorless Control of Electric Motors
article

A Maximum Torque Per Ampere Control Strategy for Brushless DC Motor Based on Direct Torque Control

Zhenguo Li, Shifang Hai, Zhisong Zhang, Tao Wen
article en

Abstract

In order to obtain the fast response ability of torque and realize the high-efficiency operation of brushless DC motor with low copper loss, this paper proposes a maximum torque per ampere control strategy based on direct torque control. When the zero-crossing phase current and the zero-crossing same-direction phase current are distributed according to the theoretical current comparison coefficient, the torque per ampere can be maximized. The control system simultaneously controls the electromagnetic torque and zero-crossing phase current, and then queries the switch state lookup table according to the state of the two hysteresis controllers. The feasibility of the algorithm is verified by MATLAB/Simulink simulation.

Yanshan University (CN)
Natural Science Foundation of Hebei Province
Affordable and clean energy
Openalex Percentile: Top 73%
Sensorless Control of Electric Motors
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