What is it about?

The model predictive control is an attractive nonlinear control method and the finite control set MPC (FCS-MPC) can be applied in power electronic converters by its discrete nature. This paper proposes an improved discrete space vector (DSVM) MPC for Vienna rectifier with better input current performance.

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Why is it important?

The normal FCS-MPC for PWM rectifiers applies single vector with variable switching frequency and the multi-vectors DSVM-MPC method can get large number of feasible vectors but with high calculation burden. The proposed improved discrete space vector (DSVM) MPC will select proper vectors adjacent the reference voltage vector to reduce the calculation burden. Then, the method has fixed switching frequency and better input current performance.


The MPC method used in high-frequency power electronic converters has the challenge of fewer predictive errors to get good current/voltage performance. The discrete space vector (DSVM) MPC is a promising alternative in PWM controlled rectifiers/inverters by applying the virtual vectors. This article optimizes the DSVM-MPC to reduce calculation burden for good input current performance in three-level PWM rectifier.

Wenjie Zhu
Huazhong University of Science and Technology

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This page is a summary of: Model predictive control with improved discrete space vector modulation for three-level Vienna rectifier, IET Power Electronics, April 2019, the Institution of Engineering and Technology (the IET), DOI: 10.1049/iet-pel.2019.0040.
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