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 516

wind

WIND

Wind input
For
Fuzzy if-then rules
detection

Tm

Control signal
p itch angle of FRENGA

Fuzzy if-
then
rule box
Fuzzy if-then
rule

Fuzzy if-
if-then rule
detector

Pcap

WIND TURBINE

Select Better
pitch angel
signal

Wind input
For
MLP training

MLP
Algorithm
box

Control signal
pitch angle of MLPNN

Fig. 11 Block diagram of proposed Hybrid controller

(a)

1.1

1.05

1

0.95

0.9

0.85

0.8

0.75

0.7

0.65

0.6

0 10 20 30 40 50 60 70 80 90 100

time (s)

(b)

1.2

1.1

1

0.9

0.8

0.7

0.6

0.5

0.4

0 10 20 30 40 50 60 70 80 90 100

time (s)

Fig. 12 Evolution of control and power alteration parameters in hybrid controller. a Controlled
torque. b Output aerodynamic power of wind turbine in Pu

Application of electricity from wind energy conventionally has been growing.
Therefore, directly connection of wind turbines to public transmission networks is
very important. Thus the output power should be stable to allow it to be connected
to national network. Because of instability creates many problems for electrical
devices. In this paper has been tried to control

turbine in wind turbulence.