基于单一矢量的两电平逆变器快速模型预测控制

doi:10.19595/j.cnki.1000-6753.tces.L90107

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Abstract In recent years, finite control set model predictive control (FCS-MPC), which has been widely used in the control of 2L-VSI, had been severely restricted by heavy computation burden and complex weighting factor assignment. Based on the idea of deadbeat control, fast model predictive control (F-MPC) algorithm based on single vector is presented in this paper. Compared with the traditional FCS-MPC which requires 8 predictions to obtain the optimal vector, this algorithm only needs one step prediction and vector positioning, which significantly reduces the computation burden while ensuring the equivalence with traditional FCS-MPC under two forms cost functions of single current control. Moreover, when the switching frequency of the 2L-VSI is considered in the control targets, this method solves the problem of complex weighting factor assignment by simply adjusting the width of hysteresis area. This paper verifies the equivalence of F-MPC and FCS-MPC algorithms under single current control from the aspects of steady state and dynamic performance. At the same time, it verifies the multi-variable control ability of F-MPC algorithm. The simulation and experimental results confirm the effectiveness of the proposed methods.

Key words： Finite control set model predictive control two-level inverter deadbeat control multiple control target

Received: 27 June 2020

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TM464

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	Chen Zhuo
	Wang Chenchen
	Cheng Qian

Cite this article:

Chen Zhuo,Wang Chenchen,Cheng Qian. Fast Model Predictive Control of Two-Level Inverter Based on Single Vector[J]. Transactions of China Electrotechnical Society, 2021, 36(zk2): 654-664.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.L90107 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/Izk2/654

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