Hardware-in-the-loop verification and real-time simulation of innovative fuzzy super-twisting control technique of doubly-fed induction generators

The choice of energy command for a doubly-fed induction generator (DFIG) is essential to ensure high energy fineness and good operation. Direct power command (DPC) is one of the approaches used to command power due to its simplicity, ease of realization, and quick dynamic response. However, despite these advantages, the DPC is described by problems that hinder its spread, such as reduced durability if the DFIG parameters change. To augment the competence of the DPC of a DFIG, a new algorithm is proposed that relies on combining both fuzzy logic (FL) and the super-twisting algorithm (STA) to command the DFIG powers, where two FL-STA regulators are used to replace traditional DPC controllers. Also, the pulse width modulation approach converts the reference values created by the FL-STA controllers into pulses to run the machine inverter. The suggested approach is a modification of the DPC, where simplicity, robustness, high competence, and ease of realization are among its most important features. First, the designed algorithm was realized using MATLAB and compared to the DPC, where some tests were used to study the performance and robustness of this method. The simulation results showed the advantage of the DPC-FL-STA over the DPC, as the current harmonics were minimized by rates estimated at 77.98 %, 79.26 %, and 80.50 % in all tests. In addition, the overshoot value of active power has been improved by 27.42 %, 14.55 %, and 22.39 % compared to the DPC. Secondly, the results were verified using empirical work based on Hardware-in-the-loop testing. In the empirical work, two different wind speed profiles were used to study the competence and robustness of the DPC-FL-STA compared to the DPC. The results of the experimental work confirm the results and the efficacy of the DPC-FL-STA in enhancing the fineness of stream and power. These results make the DPC-FL-STA a promising solution for the future.