Low Sensitivity Predictive Control for Doubly-Fed Induction Generators Based Wind Turbine Applications

In this paper, a deadbeat predictive control (DBPC) technique for doubly-fed induction generators (DFIGs) in wind turbine applications is proposed. The major features of DBPC scheme are its quick dynamic performance and fixed switching frequency. However, the basic concept computing reference voltage next sample from mathematical model generator. Therefore, highly sensitive to variations parameters DFIG. To reduce sensitivity, disturbance observer designed paper improve robustness proposed scheme. very simple easy be implemented real-time applications. strategy laboratory. Several experiments performed with without mismatches DFIG parameters. experimental results proved superiority over traditional technique.