Review and Improvement of Several Optimal Intelligent Pitch Controllers and Estimator of WECS via Artificial Intelligent Approaches - Complex System Modelling and Control Through Intelligent Soft Computations - page 504

wind turbine input-output. Thus RBF controller results the best weight between
input output using desired error produces, and produces an appropriate pitch angle
upon catch wind speed. There are 10 neurons in the hidden layer.
The hidden layer has nonlinear activation functions, but the output layer has a
linear one.

4.3 Simulation Results of Arti cial Neural Networks

Controller

To facilitate perform all of the simulation results this chapter, a 2 MW wind turbine
is chosen with the important parameters given in Table 1 (W2000 2 MW Wind
Turbine 2007 ). Simulation results brightly con rm the truth of the proposed control

methods.
In this section controller output and output power of wind turbine have been
simulated. According to Fig. 4 a the angular speed of wind has been controlled
actually. As plotted nearby rated wind speed, at large wind speeds, a dynamic
variation of the generator speed have been permitted by controller.
Because of it absorbs rapid alterations in power through wind gusts thus
escaping mechanical pressures. Afterward Fig. 4 b presented output power of wind
turbine in Pu, which has been managed by MLP controller perfectly.
As plotted power reduces in some spots that it has been resulting of intense and
sudden wind speed reduction, but MLP algorithm with changes in pitch angle
almost control it. Similarly, in RBF algorithm output simulation and analysis
Fig. 5 a reveals angular speed of wind turbine blades that has been controlled by
RBF neural network. Lastly, Fig. 5 b presented output power of wind turbine in Pu,
which has been regulated by RBF controller. Similar to MLP simulation output the
power curve in RBF distinguishes power drops in some spots that it ' s result of

turbulence wind speed.

Table 1 Specifications of the
wind power generating
facility

Wind turbine and rotor
Blade radius, R 37.5 m

Number of blades 3

Cut-in/cut-out wind speed 4/25 m/s

Rated capacity, P r 2MW

Pitch controller
Max/min pitch angle 30/ 2 °

−

Max/min pitch rate 8/ − 8 ° /s

Wind field
Rated wind speed

12 m/s

1.225 kg/m 3 Air density

Turbulence intensity 16 %