volume | PIER Journals

Abstract

To address the issue of large inductor current ripple in the existing finite switching sequence model predictive control (FSS-MPC) strategy for quasi-Z-source inverters (qZSI), an improved switching sequence model predictive control strategy is proposed. First, the switching sequences and inductor current ripple characteristics of the existing strategy are analyzed. Then, the voltage vectors are rearranged, and eight switching sequences with shoot-through vectors are designed within one sector. Next, the duty cycles of the voltage vectors are calculated based on the inverse relationship between the duty cycle and the cost function value. Additionally, a weighting coefficient for switching times is introduced into the cost function. Finally, simulations and experiments are conducted to compare the proposed method with the conventional FSS-MPC strategy. The results verify the feasibility and effectiveness of the proposed control strategy.

1. Peng, Fang Zheng, "Z-source inverter," IEEE Transactions on Industry Applications, Vol. 39, No. 2, 504-510, Mar.-Apr. 2003. Google Scholar

2. Xu, S., "Control method of DC chain voltage of Z source inverter," Industrial Control Computer, Vol. 33, No. 8, 124-125, 2020. Google Scholar

3. Dong, Shuai, Qianfan Zhang, Rui Wang, Haole Wang, and Shukang Cheng, "Development of the Z-Source inverters and its key technologies: A review," Journal of Electrical Engineering, Vol. 11, No. 3, 1-12, 2016. Google Scholar

4. Anderson, Joel and F. Z. Peng, "Four quasi-Z-source inverters," 2008 IEEE Power Electronics Specialists Conference, 2743-2749, Rhodes, Greece, Jun. 2008.

5. Zhao, R., C. Yuan, C. Xuan, Q. Li, H. Xu, and Q. Yan, "Forced excitation converter for DFIG-based wind turbine based on variable-structure quasi-Z-source," Automation of Electric Power Systems, Vol. 45, No. 19, 181-191, 2021. Google Scholar

6. Liu, Zhifei, Guiping Du, and Fada Du, "Research status and development trend of finite control set model predictive control in power electronics," Transactions of China Electrotechnical Society, Vol. 32, No. 22, 58-69, 2017. Google Scholar

7. Yao, X. L., C. W. Ma, J. F. Wang, and C. Huang, "Robust model predictive current control for PMSM based on prediction error compensation," Proceedings of the CSEE, Vol. 41, No. 17, 6071-6081, 2021.

8. Vazquez, Sergio, Jose I. Leon, Leopoldo G. Franquelo, Jose Rodriguez, Hector A. Young, Abraham Marquez, and Pericle Zanchetta, "Model predictive control: A review of its applications in power electronics," IEEE Industrial Electronics Magazine, Vol. 8, No. 1, 16-31, 2014. Google Scholar

9. Rodriguez, Jose, Marian P. Kazmierkowski, Jose R. Espinoza, Pericle Zanchetta, Haitham Abu-Rub, Hector A. Young, and Christian A. Rojas, "State of the art of finite control set model predictive control in power electronics," IEEE Transactions on Industrial Informatics, Vol. 9, No. 2, 1003-1016, 2013. Google Scholar

10. Chen, Wei, Sike Zeng, Guozheng Zhang, Tingna Shi, and Changliang Xia, "A modified double vectors model predictive torque control of permanent magnet synchronous motor," IEEE Transactions on Power Electronics, Vol. 34, No. 11, 11419-11428, 2019. Google Scholar

11. Zhang, Yongchang and Haitao Yang, "Two-vector-based model predictive torque control without weighting factors for induction motor drives," IEEE Transactions on Power Electronics, Vol. 31, No. 2, 1381-1390, 2016. Google Scholar

12. Xu, Yanping, Jibing Wang, Baocheng Zhang, and Qin Zhou, "Three-vector-based model predictive current control for permanent magnet synchronous motor," Transactions of China Electrotechnical Society, Vol. 33, No. 5, 980-988, 2018. Google Scholar

13. Tarisciotti, Luca, Pericle Zanchetta, Alan Watson, Stefano Bifaretti, and Jon C. Clare, "Modulated model predictive control for a seven-level cascaded H-bridge back-to-back converter," IEEE Transactions on Industrial Electronics, Vol. 61, No. 10, 5375-5383, 2014. Google Scholar

14. Yeoh, Seang Shen, Tao Yang, Luca Tarisciotti, Christopher Ian Hill, Serhiy Bozhko, and Pericle Zanchetta, "Permanent-magnet machine-based starter-generator system with modulated model predictive control," IEEE Transactions on Transportation Electrification, Vol. 3, No. 4, 878-890, 2017. Google Scholar

15. Li, Teng, Xiaodong Sun, Zebin Yang, and Gang Lei, "Simplified two-step model predictive control with fast voltage vector search," IEEE Transactions on Industrial Electronics, Vol. 72, No. 4, 3303-3312, 2025. Google Scholar

16. Hu, C., X. Sun, Y. Zhang, T. Rui, Z. Yin, and Z. Feng, "Optimal switching sequence model predictive current control for grid connected inverter," Electric Machines and Control, Vol. 28, No. 8, 135-142, 2024. Google Scholar

17. Li, J., B. Liu, W. Xia, and W. Song, "Model predictive flux control for permanent magnet synchronous machine based on switching sequence," Journal of Power Supply, Vol. 20, No. 4, 146-154, 2022. Google Scholar

18. Ma, J., W. Song, and X. Feng, "A model predictive direct power control of single-phase three-level PWM rectifiers," Proceedings of the CSEE, Vol. 36, No. 4, 1098-1105, 2016. Google Scholar

19. Xiao, Huihui, Sudong Wei, Qiang Guo, et al. "Model predictive control strategy for PWM rectifier with optimized switching sequence," Transactions of China Electrotechnical Society, Vol. 37, No. 14, 3665-3675, 2022. Google Scholar

20. Li, Teng, Xiaodong Sun, Gang Lei, Youguang Guo, Zebin Yang, and Jianguo Zhu, "Finite-control-set model predictive control of permanent magnet synchronous motor drive systems --- An overview," IEEE/CAA Journal of Automatica Sinica, Vol. 9, No. 12, 2087-2105, 2022. Google Scholar

21. Cheng, Jun, X. Y. Xiao, J. P. Ma, X. Y. Yang, Y. F. You, and Z. H. Cao, "Finite switching sequence model predictive direct power control of a three-phase energy-stored Quasi-Z-source grid-connected inverter," Power System Technology, Vol. 44, No. 5, 1647-1655, 2020. Google Scholar

22. Kamoshida, Naoki, Ryuji Iijima, Takanori Isobe, and Hiroshi Tadano, "Loss analysis of quasi Z‐source inverter with Superjunction‐MOSFET," Electrical Engineering in Japan, Vol. 205, No. 2, 54-61, 2018. Google Scholar

Dr. Yang Zhang

Dr. Yuwei Meng

Dr. Xiuhai Yang

Dr. Dingai Zhong

Dr. Zhun Cheng