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Model Predictive Current Control for Three-phase Voltage Source Grid-connected Inverter with Parameter Robustness
Received:May 17, 2018  Revised:August 19, 2018
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Keywords:model predictive control  inductance observer  parameter robustness  parameter estimation  voltage source inverter
Fund Project:
CHEN Taomin College of Electrical Engineering and Automation, Fuzhou University chentm1994@163.com
ruan yubin College of Electrical Engineering and Automation, Fuzhou University ryb@fzu.edu.cn
lin qiongbin College of Electrical Engineering and Automation, Fuzhou University qiongbinlin@fzu.edu.cn
su xianjin Fuzhou University—Kehua Hengsheng Power Electronics Technology Research Center suxianjin@kehua.com
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      The traditional model predictive current control demands for the accuracy of mathematical models, however, there are parameters mismatch issues because of the error of modeling. This paper presents an improved model predictive current control algorithm which overcomes the model mismatch and has a robust character. By analyzing the inductance parameter mismatch and operating principles of model predictive current control, the paper presents an inductance observer with observing area division based on the actual current variations and the predictive current variations to ensure the robustness of controller. A two-level three-phase voltage source grid-connected inverter system is implemented, according to the inductance observer, the controller tracks the actual inductance value and corrects the model parameter at the time the model mismatches, therefore, the total harmonic distortion is effectively reduced. Simulation and experimental results verify the feasibility and effectiveness of the proposed algorithm.