Using disturbance estimator in a model predictive control for single-phase current source rectifiers

Document Type : Original Article

Authors

1 University of Sistan and Baluchestan

2 University of Sistan and Baluchestn

Abstract

In this paper, first a model predictive control (MPC) for a single-phase current source rectifier (CSR) is developed used in electric vehicle (EV) charger structures. Due to the uncertainties in its model caused by varying points of connection to the power grid, a disturbance estimator is necessary. In addition to the uncertainties, the CSR model's precision is diminished by the rectifier output's unmodeled dynamics. The disturbance estimator with Lagrange extrapolation yields a more precise model of the single-phase CSR for MPC. Finite control set model predictive control (FCS-MPC) is used to minimize switching losses by providing an optimal control input, eliminating the need for a modulator due to the limited number of permissible switching modes. The proposed control method is simulated in MATLAB software and implemented on a 4-kW laboratory prototype. Simulation and experimental results confirm the validity of the proposed control method.

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TABRIZ JOURNAL OF ELECTRICAL ENGINEERING

Articles in Press, Corrected Proof
Available Online from 04 February 2024

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