Model Predictive Direct Torque Control of Switched Reluctance Motors for Low-Speed Operation

被引:26
|
作者
Li, Wei [1 ]
Cui, Zhiwei [1 ]
Ding, Shichuan [1 ]
Chen, Fan [1 ]
Guo, Yiyang [1 ]
机构
[1] Anhui Univ, Sch Elect Engn & Automat, Hefei 230601, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
Torque; Torque measurement; Rotors; Reluctance motors; Predictive models; Torque control; Switches; Cost function; flux tracking; finite-control-set; model predictive control (MPC); motor control; torque ripple reduction; SLIDING-MODE; RIPPLE REDUCTION;
D O I
10.1109/TEC.2021.3131870
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this paper, a finite-control-set model predictive direct torque control (FCS-MPDTC) method is proposed to reduce the torque ripple of a segmented switched reluctance motor (SSRM) at the low-speed stage. Firstly, the prediction dynamic model is established, and the phase torque can be predicted by detecting phase current and rotor position signals. Then, the principle of power converter and selection of voltage vectors are introduced and presented. Considering torque ripple reduction, flux tracking performance and copper losses reduction, the cost function with phase torque, the amplitude of flux linkage and phase current, is established to select optimal voltage vector to control the power converter. In addition, the torque sharing function (TSF) is employed to distribute total torque to phase torque for further torque ripple reduction. Finally, the direct torque control (DTC) is selected as the comparison method, performance of MPDTC is verified by simulation and experiment results. It can be found that the proposed MPDTC can achieve lower torque ripple and copper losses, and high robustness.
引用
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页码:1406 / 1415
页数:10
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