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

被引：1
|
作者：
Fu, Na [1 ]
Deng, Junjun [1 ]
Wang, Shuo [1 ]
Yu, Hai [1 ]
机构：
[1] Beijing Inst Technol, Sch Mech Engn, Beijing, Peoples R China
来源：
2020 IEEE 9TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (IPEMC2020-ECCE ASIA) | 2020年
关键词：
brushless dc motor (BLDCM); model predictive control (MPC); maximum torque per ampere (MTPA); sliding mode control (SMC); TORQUE-RIPPLE MINIMIZATION; DRIVES;
D O I：
10.1109/IPEMC-ECCEAsia48364.2020.9367634
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
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.
引用
收藏
页码：2234 / 2238
页数：5
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