Two-Vector-Based Modulated Model Predictive Control Method for 2-Level Voltage Source Inverters: Theoretical Analysis, Experimental Verification and Extension
Guo Leilei, Li Guohao, Jin Nan, Li Yanyan, Dou Zhifeng
College of Electric and Information Engineering Zhengzhou University of Light Industry Zhengzhou 450002 China
Abstract In recent years, model predictive control (MPC) has been widely used to control 2-level voltage source inverters due to its adaptability and robustness. However, in conventional MPC system, only one voltage vector is used per control cycle, resulting in larger current harmonics. To suppress the current harmonics, a two-vector-based modulated MPC strategy is proposed. First, two voltage vectors are used simultaneously to track the target vector in each control period, and the operating time of each voltage vector is calculated based on the principle of modulated MPC. Second, the reference voltage is calculated according to the principle of dead-beat control, and based on the position of the reference voltage only three voltage vector combinations are selected and evaluated online per control period to get the optimal voltage vector combination. Finally, the effectiveness of the proposed two-vector-based modulated MPC strategy is verified by detailed theoretical analysis for the first time. Additionally, the study in this paper also shows that the proposed strategy can be utilized to control other types of inverters, such as three-phase four-switch inverter. Meanwhile, the method proposed in this paper can obtain a similar control performance with the conventional two-vector method, with the advantages of less computation, etc. Theoretical analysis and experimental results verify the effectiveness of the proposed method.
Guo Leilei,Li Guohao,Jin Nan等. Two-Vector-Based Modulated Model Predictive Control Method for 2-Level Voltage Source Inverters: Theoretical Analysis, Experimental Verification and Extension[J]. Transactions of China Electrotechnical Society, 2021, 36(1): 39-49.
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2021, Vol. 36 
