Abstract: This study developed the mathematical model applied the artificial intelligence techniques of to simulated a wind turbine control system utilization PID, ANFIS and NARMA controllers. Wind power plays an important function in production of electric power and effected voltage and frequency stability. Rotary of wind turbines transmit vary types of loads and pneumatic loads which cause rotor blades to deteriorate to the turbine using MATLAB/Simulink to control of pitch angle to maintain turbine blades. Finding: The result of artificial intelligence techniques show response of time and time stability of three methods showed that the ANFIS controller is the best compared to other methods. The PID produces a lower time response but it has oscillations with peak exceeding (0.08) and rise time (5 sec).When you apply NARMA Controller, the result is less rise time (0 sec), the stability time exceeds (6 sec) and exceeds the maximum results using ANFIS whose design is able to effectively stop the steady-state error to zero and the rapid rise time systems (0) and the time stabilizes (5.8 sec) from the analysis, it is concluded that the ANFIS control gives a relatively quick response to the input. This method to control of pitch angle is a better technique of the system control.
Mansour Farhan, Ismaiel Sharhan and Mohammed Kasim Gasim, 2020. Adaptive Control Scheme for Wind Turbine Generator. Research Journal of Applied Sciences, 15: 72-84.