Model Predictive Control With Duty Cycle Optimization and Virtual Null Vector for Induction Generator With Six Switch Converter

The incorporation of duty cycle optimization in the finite control set model predictive control increased its advantages, improving its steady-state performance and maintaining its fast dynamics. However, duty cycle optimization depends on the application of a null vector alongside the optimal vector, and some converters do not have a null voltage vector inherently. This is the case of the six-switch converter, a reduced switch count converter that replaces the back-to-back converter with only 50% of the number of switches, and whose union with predictive control has been little exploited. This article develops a model predictive control with duty cycle optimization for a variable speed turbine wind power system with the six-switch converter (SSC) connected to the grid and a squirrel cage induction generator (SCIG). Calculations are performed by the means of a virtual null voltage vector properly applied to the system. Experimental results show the proposed control technique improved the steady-state performance of the system, with lower torque ripples, active power ripples, and current total harmonic distortion, certifying the controller as a feasible technique for the application.