Rotor current fuzzy control of a DFIG with an Indirect Matrix Converter

This paper presents a soft-computing technique to control the rotor current of a Doubly Fed Induction Generator (DFIG) using an Indirect Matrix Converter (IMC). The technique developed uses fuzzy logic to successfully control the rotor current, even with abnormal grid conditions, by governing the IMC rectifier and inverter sides. Although this control problem has been already analyzed and solved with conventional vector control and with Finite States Model Based Predictive Control (FS-MBPC), the fuzzy logic based controllers have a very acceptable response. The advantages of the developed technique are simpler code without the need of a specific mathematical model and robustness under grid abnormalities. These benefits decrease system costs, increase overall reliability and allow the control scheme to be implemented easily and entirely in FPGAs instead of DSPs-FPGA control systems.