三相并网逆变器的改进模型预测控制研究

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Abstract Aiming at the problem of traditional model predictive control (MPC) of high current ripple, an improved discrete space vector model predictive control (DSVM-MPC) method is proposed. This control method not only introduces voltage virtual vector, but also improves voltage usage and ensures high quality output current, and voltage vector preselection technique is used. By dividing the voltage vector into six sectors by combining with the space vector pulse width modulation (SVPWM) theory, the model predictive control technique is used to judge the sector where the voltage of the next sampling period is located, and the thirty-eight voltage vectors used in the prediction process of the discrete space vector model are reduced to only eleven voltage vectors. This not only improves the quality of the grid-connected current, but also does not introduce a lot of calculations. The simulation results show that the control method has improved the current ripple and the current tracking performance is improved compared with the traditional model predictive control.

Key words： model predictive control discrete space vector virtual voltage vector pre-selection theory

Received: 10 August 2019 Published: 20 March 2020

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	Ding Xiong
	Lin Guoqing

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Ding Xiong,Lin Guoqing. Research on three-phase grid-connected inverter based on discrete space vector model predictive control[J]. Electrical Engineering, 2020, 21(3): 16-21.

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http://dqjs.cesmedia.cn/EN/Y2020/V21/I3/16

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