Computation-Efficient Model Predictive Control Using Sphere Decoding Algorithm for DTP-PMSMs

被引：0

作者：

Chen, Jian ^{[1
]}

Zhang, Zhen ^{[1
]}

Niu, Zhenyong ^{[2
]}

Zeng, Shunqi ^{[2
]}

Han, Ruixue ^{[3
]}

Wu, Yitong ^{[1
]}

Chang, Siyuan ^{[1
]}

机构：

[1] Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China

[2] Guangdong Power Grid Co Ltd, Guangzhou Power Supply Bur, Guangzhou 510630, Peoples R China

[3] Tianjin Nav Instruments Res Inst, Tianjin 300131, Peoples R China

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2024年 / 60卷 / 10期

关键词：

Vectors; Costs; Voting; Switches; Harmonic analysis; Prediction algorithms; Decoding; Low computation burden; model predictive control; permanent magnet synchronous motor (PMSM); sphere decoding;

D O I：

10.1109/TMAG.2024.3427690

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：

Extending the prediction horizon for finite control set model predictive control (FCS-MPC) has shown its advantages on steady-state performance and current distortions. However, its inherently high computational burden brought barriers to implement. Hence, a scheme of sphere decoding algorithm-MPC (SDA-MPC) with preliminary election is proposed for the calculation efficiency and harmonic suppression. The experimental prototype is developed and implemented for dual three phase permanent magnet synchronous motor (DTP-PMSM). Experimental results well agree with the theoretical analysis. In particular, the proposed SDA-MPC scheme significantly reduced the average turnaround time by 21% compared with the exhaustive search algorithm (ESA) under the single step. Moreover, it reduced the ripple in x-y subspace by 14% compared with the conventional SDA with whole control set.

引用

页数：5

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