Fuzzy Gain Scheduling of PI Torque Controller to Capture the Maximum Power From Variable Speed Wind Turbines

Abstract

Wind turbine torque control strategy is commonly used to maximize energy in low wind speed operating. One of the main limitations of wind turbine control is wind fluctuations, in order to solve this problem, the present article represents a fuzzy gain scheduling of PI gains (FGSPI) for torque control based on tip-speed ratio (TSR) method. This technique consists in choosing the optimal gains by using human expertise based on fuzzy rules. Controls Advanced Research Turbine (CART) based on the Fatigue, Aerodynamics, Structures, and Turbulence (FAST) simulator developed at the National Renewable Energy Laboratory (NREL) in the United States is used for simulations. The results show that the proposed method performs well compared to the conventional method with better monitoring of the reference speed and load mitigation.

Publication
2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS)