Model Predictive Current Control with Sliding Mode Speed Control for Brushless DC Motor

Na Fu, Junjun Deng, Shuo Wang, Hai Yu

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

In this paper, a model predictive current control (MPCC) method based on pseudo-dq transformation is proposed for maximum torque per ampere (MTPA) control of the brushless dc motor (BLDCM). A current predictive model of BLDCM in discrete steps is built. A cost function considering the torque current tracking and the MTPA operation is introduced. The optimal voltage vector to control the motor is then selected according to the cost function. Additionally, to improve the robustness of the system, a sliding mode control is applied to the outer speed control loop. In the end, the simulation results validate a better performance of the proposed control scheme compared to the traditional control method.

源语言英语
主期刊名2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
出版商Institute of Electrical and Electronics Engineers Inc.
2234-2238
页数5
ISBN(电子版)9781728153018
DOI
出版状态已出版 - 29 11月 2020
活动9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia - Nanjing, 中国
期限: 29 11月 20202 12月 2020

出版系列

姓名2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia

会议

会议9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
国家/地区中国
Nanjing
时期29/11/202/12/20

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