Flux-Linkage Loop-Based Model Predictive Torque Control for Switched Reluctance Motor

被引:0
|
作者
Cai, Jun [1 ,2 ]
Dou, Xiaolan [2 ]
Song, Shoujun [3 ]
Cheok, Adrian David [2 ]
Yan, Ying [2 ]
Zhang, Xin [4 ]
机构
[1] Nanjing Univ Informat Sci & Technol, C MEIC, CICAEET, Nanjing 210044, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Sch Automat, Nanjing 210044, Peoples R China
[3] Northwestern Polytech Univ, Coll Automat, Xian 710072, Peoples R China
[4] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China
基金
中国国家自然科学基金;
关键词
Direct torque control (DTC); flux-linkage loop; model predictive control (MPC); switched reluctance motor (SRM); vector allocation; SHARING FUNCTION; RIPPLE; REDUCTION;
D O I
10.1109/TIE.2024.3443955
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To minimize the switch state combinations and lower the computational burden in traditional model predictive torque control (MPTC) strategies in switched reluctance motor (SRM), a flux-linkage loop-based MPTC is proposed in this article. In this method, the concept of direct torque control (DTC) of SRM is integrated with the MPTC, which adopts the voltage vector selection method of DTC and utilizes the flux-linkage loop of DTC to assist in selecting the candidate switch states in MPTC, thereby further reducing the number of candidate switch state combinations to two. In addition, an improved quadrature phase locked loop (PLL) scheme is introduced to replace the arctangent function to calculate the flux linkage sector angle, which makes the angle estimation robust. The proposed method was experimentally validated on a 12/8-pole SRM experimental platform and compared with current chopping control and the traditional MPTC methods. The experimental results demonstrate its superiority in reducing computational burden and lowering torque ripple.
引用
收藏
页数:9
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