Finite Set Model Predictive Control of PWM AC/DC Converter with Virtual-Flux Estimation under Grid Imbalance

  • Merzouk Imad Applied Automation and Industrial Diagnostic Laboratory, Faculty of Technology, University of Djelfa
  • Khansa Bdirina Applied Automation and Industrial Diagnostic Laboratory, Faculty of Technology, University of Djelfa, Algeria
  • M. L. Bendaas Department of Technology, University of Batna, Algeria
Keywords: AC/DC PWM Converter, Finite Set Model Predictive Control, Virtual Flux, Compensating Power, Grid Imbalance


The aim of this research is to improve the quality of input current for AC/DC PWM converter, in case of grid imbalance with high dynamic transient. This can be achieved by joining compensating power with finite set model predictive control (FSMPC) based on voltage sensor-less technique. The control scheme proposed in this paper is divided into two steps. First, a double second order generalized integrator is used to estimate the virtual-flux and separate sequences of grid current and then the compensating power necessary to obtain sinusoidal input current is calculated. In the second step, the current is regulated via FSMPC, where, the switching state is determined directly. MATLAB/Simulink is selected to simulate and verify the effectiveness of the proposed control scheme; with and without virtual flux estimation. Simulation results are compared to confirm the validity of the algorithm.


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How to Cite
Imad, M., Bdirina, K., & Bendaas, M. (2019). Finite Set Model Predictive Control of PWM AC/DC Converter with Virtual-Flux Estimation under Grid Imbalance. Majlesi Journal of Electrical Engineering, 13(2), 111-119. Retrieved from