Simple and Robust Finite-Control-Set Model Predictive Control for DFIGs in Wind Turbine Systems

This paper proposed a simple and robust Finite-control-set model-predictive control (FCS-MPC) technique for doubly-fed induction generators (DFIGs) in wind turbine applications. In the suggested control technique, the machine model and demanded reference currents are exploited to give the reference voltage vector (RVV). Furthermore, the disturbance caused by parameters variations or by any un-modeled dynamics is estimated by a simple observer and added to the RVV calculations. Finally, based on the location of this RVV, two iterations are required for the quality function to produce the optimal switching state to apply. The suggested FCS-MPC scheme was experimentally validated and the response was contrasted with the classical FCS-MPC.