@article{MAKHILLRJAS202015210230,
    title = {Adaptive Control Scheme for Wind Turbine Generator},
    journal = {Research Journal of Applied Sciences},
    volume = {15},
    number = {2},
    pages = {72-84},
    year = {2020},
    issn = {1815-932x},
    doi = {rjasci.2020.72.84},
    url = {https://makhillpublications.co/view-article.php?issn=1815-932x&doi=rjasci.2020.72.84},
    author = {Mansour,Ismaiel and},
    keywords = {WT,NARMA,PID,ANFIS,controller,simulated},
    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.}
    }