一种简化的PMSM连续控制集模型预测电流控制

doi:1004-7018(2019)05-0036-05

微特电机 ›› 2019, Vol. 47 ›› Issue (5): 36-40.doi: 1004-7018(2019)05-0036-05

一种简化的PMSM连续控制集模型预测电流控制

盛明钢,沈安文,罗欣

华中科技大学,武汉 430074

收稿日期:2018-12-28 出版日期:2019-05-28 发布日期:2019-05-23
作者简介:盛明钢 (1993—),男,硕士,研究方向为电机的运动控制。
基金资助:
国家自然科学基金项目(61472154);武器装备预研基金项目(9140A33010115JW05013)

A Simplified Continue Control Set MPCC of PMSM

SHENG Ming-gang,SHEN An-wen,LUO Xin

Huazhong University of Science & Technology,Wuhan 430074, China

Received:2018-12-28 Online:2019-05-28 Published:2019-05-23

摘要/Abstract

摘要：

研究了基于三相逆变器相电压占空比的简化的连续控制集模型预测电流控制。通过改进电压矢量的合成方式,保持和传统矢量控制方法相同控制性能的前提下,将电流预测计算的次数由6次减少为3次,同时提高了母线电压利用率。通过对比实验对该方法进行验证,结果证明该方法能获得和SVPWM控制相同的稳态性能,有效地降低了电流纹波,且保留了模型预测控制在动态过程的控制性能。

关键词: 永磁同步电机, 模型预测控制, 矢量合成, 面积等效原理

Abstract:

A simplified continuous control set model predictive current control (SCCS-MPCC) based on phase voltage duty cycle of three-phase inverter was studied. By improving the synthesis method of voltage vector and maintaining the same control performance as the traditional vector control method, the frequency of current prediction calculation was reduced from six times to three times, and the utilization ratio of bus voltage was improved. The scheme was verified through comparative experiments. The experiment results prove that the scheme can achieve the same steady-state performance as SVPWM control, effectively reduce the current ripple, and retain the control performance of the model predictive control in the dynamic process.

Key words: permanent magnet synchronous motor (PMSM), model predictive control (MPC), vector synthesis, principle of area equivalence

中图分类号:

TM351

盛明钢,沈安文,罗欣. 一种简化的PMSM连续控制集模型预测电流控制[J]. 微特电机, 2019, 47(5): 36-40.

SHENG Ming-gang,SHEN An-wen,LUO Xin. A Simplified Continue Control Set MPCC of PMSM[J]. Small & Special Electrical Machines, 2019, 47(5): 36-40.

参考文献

[1]	TU W C, LUO G Z, ZHANG R, et al. Finite-control-set model predictive current control for PMSM using grey prediction [C]//2016 IEEE Energy Conversion Congress and Exposition (ECCE),Milwaukee,WI,USA. 2016: 1-7.
[2]	Mohsen Siami, Davood Arab Khaburi, Jose Rodriguez . Torque ripple reduction of predictive torque control for PMSM drives with parameter mismatch[J]. IEEE Transactions on Power Electronics. 2017,32(9):7160-7168.
[3]	张永昌, 杨海涛, 魏香龙 . 基于快速矢量选择的永磁同步电机模型预测控制[J]. 2016,31(6):66-73.
[4]	ZHANG Y C, GAO S Y, XU W . An improved model predictive current control of permanent magnet synchronous motor drives [C]// IEEE Applied Power Electronics Conference and Exposition (APEC),Long Beach, CA, USA. 2016: 2868-2874.
[5]	ZHANG Y C, XU D L, LIU J L , et al. Performance improvement of model-predictive current control of permanent magnet synchronous motor drives[J]. IEEE Transactions on Industry Applications. 2017,53(4):3683-3695.
[6]	Mohammad Reza Nikzad, Behzad Asaei, Seyed Omid Ahmadi . Discrete duty-cycle-control method for direct torque control of induction motor drives with model predictive solution[J]. IEEE Transactions on Power Electronics. 2018,33(3):2317-2329.
[7]	XU Y P, ZHANG B C, ZHOU Q . A model predictive current control method of PMSM based on the simultaneous optimization of voltage vector and duty cycle [C]// 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), Hefei, China. 2016: 881-884.
[8]	ZHANG Y C, YANG H T . Two-vector-based model predictive torque control without weighting factors for induction motor drives[J]. IEEE Transactions on Power Electronics. 2016,31(2):1381-1390.
[9]	ZHANG Y C, BAI Y N, YANG H T . A universal multiple-vector-based model predictive control of induction motor drives[J]. IEEE Transactions on Power Electronics. 2018,33(8):6957-6969.
[10]	ZHANG X G, HOU B S, MEI Y . Deadbeat predictive current control of permanent-magnet synchronous motors with stator current and disturbance observer[J]. IEEE Transactions on Power Electronics, 2017,32(5):3818-3834.
[11]	徐艳平, 王极兵, 张保程 , 等. 永磁同步电机三矢量模型预测电流控制[J]. 电工技术学报, 2018,33(5):980-988.

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一种简化的PMSM连续控制集模型预测电流控制

A Simplified Continue Control Set MPCC of PMSM

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