A Low-Complexity Modulated Model Predictive Torque and Flux Control Strategy for PMSM Drives Without Weighting Factor

被引:15
作者
Nasr, Ahmed [1 ]
Gu, Chunyang [1 ]
Buticchi, Giampaolo [1 ]
Bozhko, Serhiy [2 ]
Gerada, Chris [2 ]
机构
[1] Univ Nottingham Ningbo China, Key Lab More Elect Aircraft Technol Zhejiang Prov, Ningbo 315100, Peoples R China
[2] Univ Nottingham, Power Elect Machines & Control PEMC Res Grp, Nottingham NG7 2RD, England
基金
中国国家自然科学基金;
关键词
Computational efforts; control set; duty ratio; model predictive torque control; permanent magnet synchronous motor (PMSM); torque ripple; weighting factor; MACHINES; SET;
D O I
10.1109/JESTPE.2022.3152652
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
This article proposes a modulated model predictive torque and flux control (M2PTFC) method with low complexity for a two-level voltage source inverter (2L-VSI)-fed permanent magnet synchronous motor (PMSM). The proposed strategy aims to reduce the computation burden and simplify the control implementation of the conventional M2PTFC scheme by reducing the number of candidate voltage vectors at every control sample to the minimum (i.e., only two candidates) and eliminating the weighting factor of the cost function and its corresponding tuning procedures. For these purposes, the proposed method devotes different control objectives to the duty modulation and the cost function evaluation processes while executing them sequentially. First, aiming at torque ripple reduction, a duty modulation strategy is proposed based on the analysis of torque deviations produced by different voltage vectors, which ensures proper selection of the two candidates and restricts active voltage vectors (AVVs) that cause high deviations. Then, these candidates are evaluated based on a cost function assigned to achieve the stator flux control objective. The effectiveness of the proposed control scheme is verified through comparative assessment with the conventional M2PTFC and two existing simplified methods by means of simulation and experimental results.
引用
收藏
页码:1305 / 1316
页数:12
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