真空管道磁浮列车三电平中点钳位整流器的改进型模型预测控制研究

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Abstract The three-level neutral point clamped (NPC) rectifier system of vacuum pipeline maglev train needs more control objectives. Compared with PWM control mode, model predictive control (MPC) can add any necessary control objectives in a single cost function, so it is more suitable for multi-objective control, but it needs more computation. In order to solve the problem of large amount of calculation in traditional model predictive control, this paper proposes an improved model predictive control strategy, which can save about 22% of calculation time on the basis of ensuring the stable operation of the system. At the same time, this paper considers the influence of the change of load and switching frequency weight coefficient on current total harmonic distortion (THD) and average switching frequency (loss), and puts forward the control strategy of variable switching frequency weight coefficient to meet the requirements of system harmonic and loss under different load conditions. Finally, the effectiveness of the proposed strategy is verified by simulation.

Key words： vacuum pipeline maglev train three-level neutral point clamped (NPC) rectifier model predictive control (MPC) decoupling of control objectives variable weight factor control

Received: 20 November 2020

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	Articles by authors
	HUANGFU Haiwen
	CAI Panpan
	LI Qinglai

Cite this article:

HUANGFU Haiwen,CAI Panpan,LI Qinglai. Research on improved model predictive control of three-level neutral point clamped rectifier for vacuum pipeline maglev train[J]. Electrical Engineering, 2021, 22(6): 28-35.

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http://dqjs.cesmedia.cn/EN/Y2021/V22/I6/28

[1] YOUNG H A, PEREZ M A, RODRIGUEZ J, et al.Assessing finite-control-set model predictive control: a comparison with a linear current controller in two-level voltage source inverters[J]. IEEE Industrial Electronics Magazine, 2014, 8(1): 44-52.
[2] VAZQUEZ S, AGUILERA R P, ACUNA P, et al.Model predictive control for single-phase NPC converters based on optimal switching sequences[J]. IEEE Transactions on Industrial Electronics, 2016, 63(12): 7533-7541.
[3] VARGAS R, CORTES P, AMMANN U, et al.Predictive control of a three-phase neutral-point- clamped inverter[J]. IEEE Transactions on Industrial Electronics, 2007, 54(5): 2697-2705.
[4] BAYHAN S, KAKOSIMOS P, ABURUB H, et al.Model predictive control of five-level H-bridge neutral-point-clamped qZS inverter[C]//IECON 2016- 42nd Annual Conference of the IEEE Industrial Electronics Society, 2016: 5971-5976.
[5] KUMAR A, SRUNGAVARAPU G.Algorithm-based direct power control of active front-end rectifiers[J]. IET Power Electronics, 2019, 12(4): 712-718.
[6] GUI Shiwen, WANG Lu, HUANG Shenghua. An improved VSVPWM strategy of considering neutral- point potential balancing in three-level NPC con- verter[J]. Applied Mechanics & Materials, 2014, 496-500:1079-1083.
[7] 胡存刚, 马大俊, 王群京, 等. 三电平有源中点钳位逆变器损耗分布平衡控制策略[J]. 电工技术学报, 2017, 32(1): 129-138.
[8] 丁雄, 林国庆. 三相并网逆变器的改进模型预测控制研究[J]. 电气技术, 2020, 21(3): 16-21.
[9] MA Junpeng, SONG Wensheng, WANG Shunliang, et al.Model predictive direct power control for single phase three-level rectifier at low switching fre- quency[J]. IEEE Transactions on Power Electronics, 2018, 33(2): 1050-1062.
[10] LIZAMA I, RODRIGUEZ J, WU B, et al.Predictive control for current source rectifiers operating at low switching frequency[C]//2009 IEEE 6th International Power Electronics and Motion Control Conference, 2009: 1630-1633.
[11] 肖智明, 陈启宏, 张立炎. 电动汽车双向DC-DC变换器约束模型预测控制研究[J]. 电工技术学报, 2018, 33(增刊2): 489-498.
[12] 郭磊磊, 金楠, 李琰琰, 等. 并网逆变器无电网电压传感器模型预测控制[J]. 电工技术学报, 2020, 35(12): 2612-2622.
[13] 毛人杰, 李媛. 基于模型预测控制的开关电感准Z源逆变器研究[J]. 电气技术, 2018, 19(3): 8-11, 19.