Research on improved model predictive control of three-level neutral point clamped rectifier for vacuum pipeline maglev train
HUANGFU Haiwen1, CAI Panpan2, LI Qinglai2
1. Beijing Jiaotong University Yangtze River Delta Research Institute, Zhenjiang, Jiangsu 212009; 2. School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044
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.
皇甫海文, 蔡盼盼, 李庆来. 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[J]. 电气技术, 2021, 22(6): 28-35.
HUANGFU Haiwen, CAI Panpan, LI Qinglai. Research on improved model predictive control of three-level neutral point clamped rectifier for vacuum pipeline maglev train. Electrical Engineering, 2021, 22(6): 28-35.
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2021, Vol. 22 
