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.
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页码：1 / 1
页数：5
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