Robust Predictive Rotor Current Control of DFIGs Based on an Adaptive Ultra-local Model

In the control strategy of doubly fed induction generators (DFIGs), the traditional control method usually uses too much machine parameters, which leads to a serious decline in the control performance when the parameters mismatch, a robust predictive rotor current control (RPRCC) based on an adaptive ultra-local model for DFIGs is proposed in this paper. The ultra-local model can be updated in real time through the sampling rotor currents and stored rotor voltages. When the machine parameters change, by timely estimating the disturbance and bringing it into the closed-loop feedback system, so the influence of disturbance can be quickly eliminated. Because the proposed method does not require any machine parameters and the control model is updated in real time during operation, the proposed method can greatly improve the robustness of the DFIG system. Simulation results show that the method is effective.