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Hybrid voltage vector preselection based model predictive control to reduce the common‐mode voltage for 2‐level voltage source inverters
Author(s) -
Guo Leilei,
Jin Nan,
Cao Lingzhi,
Dou Zhifeng
Publication year - 2019
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2018.5517
Subject(s) - control theory (sociology) , voltage , model predictive control , voltage source , common mode signal , current (fluid) , engineering , computer science , control (management) , electronic engineering , electrical engineering , digital signal processing , artificial intelligence , analog signal
Model predictive control (MPC) strategies have been frequently studied in recent years. To reduce the common‐mode voltage (CMV) as well as the current total harmonic distortions (THDs) of the 2‐level voltage sources (2L‐VSIs), a new MPC strategy is proposed in this study considering both the dead‐time and the one‐step delay effects. First, the reference voltage vector (VV) prediction based MPC strategy is utilised as it is simple and accurate. Next, the VV preselection strategy is studied in detail to remove the CMV spikes. The effects of the dead time on the CMV are analysed, and an improved VV preselection strategy is presented to reduce the CMV spikes. Then, the one‐step delay effects are also analysed, and further improvements are made to completely remove the CMV spikes. Moreover, the maximum variation of the current during one control period is studied in‐depth to provide a solid theory foundation for dividing the current sector more accurately. As the six non‐zero VVs of the 2L‐VSI are fully used in the proposed method, not only the CMV but also the current THDs are reduced. Finally, comparative simulation and experimental studies are carried out to validate the effectiveness of the proposed method.

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