Model Predictive Torque Control for a Dual Three-phase PMSM Using Modified Dual Virtual Vector Modulation Method*

doi:10.23919/CJEE.2022.000041

Chinese Journal of Electrical Engineering ›› 2022, Vol. 8 ›› Issue (4): 91-103.doi: 10.23919/CJEE.2022.000041

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Model Predictive Torque Control for a Dual Three-phase PMSM Using Modified Dual Virtual Vector Modulation Method^*

Zhujin Ren¹, Jinghua Ji^1,*, Hongyu Tang², Tao Tao¹, Linsen Huang¹, Wenxiang Zhao¹

1. School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China;
2. School of Electrical and Information, Zhenjiang College, Zhenjiang 212028, China

Received:2021-11-12 Revised:2022-01-25 Accepted:2022-03-22 Online:2022-12-25 Published:2023-01-13
Contact: * E-mail: jjh@ujs.edu.cn
About author:Zhujin Ren received the B.Sc. degree in Electrical Engineering from Shandong University of Science and Technology, Qingdao, China, in 2019. He is currently working toward the M.Sc. degree in Electrical Engineering from Jiangsu University, Zhenjiang, China.
His research interests include multiphase machine drive and predictive control.
Jinghua Ji received the B.Sc., M.Sc., and Ph.D. degrees in Electrical Engineering from Jiangsu University, Zhenjiang, China, in 2000, 2003, and 2009 respectively. Since 2000, she has been with the School of Electrical and Information Engineering, Jiangsu University, where she is currently a Professor.
From 2013 to 2014, she was a Visiting Scholar with the Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK. Her areas of interest include motor design and electromagnetic field computation. She has authored and co-authored over 50 technical papers in these areas.
Hongyu Tang received the B.Sc. degree in Electrical Engineering from Jiangsu University of Science and Technology, Zhenjiang, China, in 1999, and the M.Sc. degree in Electrical Engineering from Jiangsu University, Zhenjiang, China, in 2005.
He has been with Zhenjiang College since 1999, where he is currently a Professor with the School of Electrical and Information. His current research interests include analysis and control of permanent-magnet motor drive systems.
Tao Tao received the B.Sc. degree in Electrical Engineering from Nanjing Agricultural University, Nanjing, China, in 2009. He is currently working toward the Ph.D. degree in Electrical Engineering with Jiangsu University, Zhenjiang, China.
His research interest includes control of multi-phase permanent-magnet machines.
Linsen Huang received the M.Sc. degree in Electrical Engineering from the Hunan University of Technology, Hunan, China, in 2015. He is currently working toward the Ph.D. degree in Electrical Engineering with Jiangsu University, Zhenjiang, China.
His research interests include wide-band gap (WBG) devices, motor drives, and high-power density converters.
Wenxiang Zhao (M'08-SM'14) received the B.Sc. and M.Sc. degrees from Jiangsu University, Zhenjiang, China, in 1999 and 2003, respectively, and the Ph.D. degree from Southeast University, Nanjing, China, in 2010, all in Electrical Engineering.
He has been with Jiangsu University since 2003, where he is currently a Professor with the School of Electrical and Information Engineering. From 2008 to 2009, he was a Research Assistant with the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China. From 2013 to 2014, he was a Visiting Professor with the Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK. His current research interests include electric machine design, modeling, fault analysis, and intelligent control. He has authored and co-authored over 200 technical papers in these areas.
Supported by:
* National Natural Science Foundation of China under Grant 51977099, the Natural Science Foundation of Jiangsu Province under Grant BK20191225, and the Priority Academic Program Development of Jiangsu Higher Education Institutions.

Abstract

Abstract: Single voltage vectors applied in the conventional model predictive torque control (MPTC) for multiphase motors do not only suffer from serious torque and stator flux ripples but also cause the large harmonic current. To address the aforementioned challenges, an MPTC using a modified dual virtual vector modulation method is proposed to improve the operational performance of a dual three-phase permanent magnet synchronous motor. Virtual voltage vectors are synthesized as the candidate control set to restrain the harmonic current. A transformation method is introduced to consider both the stator flux and torque in the duty cycle modulation. The torque and stator flux ripples are simultaneously reduced by addressing the limitations of nonuniform units. Furthermore, the null voltage vector is then inserted to expand the modulation range and improve the steady-state performance. Moreover, the sawtooth carrier is adopted to address the challenge of the asymmetric switch sequence caused by the modified modulation. Finally, the experimental results are presented to verify the effectiveness and superiority of the proposed MPTC method.

Key words: Model predictive torque control, dual three-phase motor, permanent magnet synchronous motor, dual virtual vector modulation

Zhujin Ren, Jinghua Ji, Hongyu Tang, Tao Tao, Linsen Huang, Wenxiang Zhao. Model Predictive Torque Control for a Dual Three-phase PMSM Using Modified Dual Virtual Vector Modulation Method^*[J]. Chinese Journal of Electrical Engineering, 2022, 8(4): 91-103.

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Model Predictive Torque Control for a Dual Three-phase PMSM Using Modified Dual Virtual Vector Modulation Method^*

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