TY  - JOUR
T1  - ANALYSIS OF WIND TURBINE BLADE PITCH ANGLE CONTROL WITH FUZZY LOGIC
AU  - Erol, Halil
AU  - Arslan, Atakan
PY  - 2022
DA  - June
Y2  - 2022
JF  - The International Journal of Materials and Engineering Technology
JO  - TIJMET
PB  - Necip Fazıl YILMAZ
WT  - DergiPark
SN  - 2667-4033
SP  - 18
EP  - 22
VL  - 5
IS  - 1
LA  - en
AB  - Wind energy systems (WES) are systems that convert the energy they receive from the wind into electricity in the generator. Turbines, which cause less damage to the environment, have become more credible after the radical climate changes. Factors such as variable wind speeds and various transportation difficulties have revealed the necessity of good planning in WES construction and investment. There are many ways to increase efficiency from WES. One of them is to change the angle of the wind turbine blades. In this study, a more efficient and stable output is tried to be obtained by controlling the wind turbine blade with fuzzy logic. When the parameters of the fuzzy logic system are changed, the results are satisfactory.
KW  - fuzzy logic system
KW  - wind turbine
KW  - pitch angle
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UR  - https://dergipark.org.tr/en/pub/tijmet/issue//1026829
L1  - https://dergipark.org.tr/en/download/article-file/2093492
ER  -