Environmental Engineering Reference
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(a)
f sg evalu a tion
1.15
1.1
+0 .1
1.05
1
0.95
0.9
0
100
200
300
400
500
600
Time(s)
(b)
f sg evaluation
1.1
1.05
1
-0.1
0.95
0.9
0.85
0.8
0
100
200
300
400
500
600
Time(s)
Fig. 7.17
Deviation of 1.1 (a) and 0.9 (b) sensor measurements from unity
In fact, from a control stand point, the power optimisation problem is a tracking
control problem. However, several design constraints must be taken into account
in the design of the wind turbine power maximization controller, these are:
a. Wind turbines are characterised by their non-linear aerodynamics and have a
stochastic and uncontrollable driving force as input in the form of EWS. This
limits the ability of linear control strategies to maintain acceptable performance
over a wide range of wind speed.
b. Due to the common input common output matrices of wind turbine model the
conservatism of T-S fuzzy estimation and control is highly reduced.
c. Owing to the direct effect of wind turbine components faults on the wind power
conversion efficiency, the designed control strategy must be capable of toler-
ating different expected fault effects.
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