A Dual-Vector Modulated Model Predictive Control Method for Voltage Source Inverters with a New Duty Cycle Calculation Method

Lingzhi Cao, Yanyan Li, Xiaoying Li, Leilei Guo, Nan Jin and Hong Cao
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Lingzhi Cao: School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
Yanyan Li: School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
Xiaoying Li: Senyuan Electric Co., Ltd., Changge 461500, China
Leilei Guo: School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
Nan Jin: School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
Hong Cao: Senyuan Electric Co., Ltd., Changge 461500, China

Energies, 2020, vol. 13, issue 16, 1-16

Abstract: Recently, model predictive control (MPC) methods have been widely used to achieve the control of two-level voltage source inverters due to their superiorities. However, only one of the eight basic voltage vectors is applied in every control cycle in the conventional MPC system, resulting in large current ripples and distortions. To address this issue, a dual-vector modulated MPC method is presented, where two voltage vectors are selected and utilized to control the voltage source inverter in every control cycle. The duty cycle of each voltage vector is figured out according to the hypothesis that it is inversely proportional to the square root of its corresponding cost function value, which is the first contribution of this paper. The effectiveness of this assumption is verified for the first time by a detailed theoretical analysis shown in this paper based on the geometrical relationship of the voltage vectors, which is another contribution of this paper. Moreover, further theoretical analysis shows that the proposed dual-vector modulated MPC method can also be extended to control other types of inverters, such as three-phase four-switch inverters. Detailed experimental results validate the effectiveness of the presented strategy.

Keywords: model predictive control; dual-vector; duty cycle; theoretical analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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