TY  - JOUR
T1  - Type_2 Fuzzy Logic Controller System of Maximum Power Point Tracking (MPPT)
AU - H. Mutlag, Ammar AU - A. Gadban, Safaa AU - Kh. Kareem, Rasha 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 15
SP  - 4973
EP  - 4979
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.4973.4979
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.4973.4979
KW  - Interval Type_2 Fuzzy Logic (IT2FL)
KW  -MPPT
KW  -PV
KW  -the Type_2 Fuzzy Logic Controller (T2FLC)
KW  -algorithm
KW  -performance
AB  - The most important point in the control of (PV) systems is the design of the maximum power point
tracking algorithm. Generally, MPPT depends on the solar irradiance (G) and Temperature (T). Many algorithms
are developed for the MPPT to extract the maximum power and improve the efficiency of PV system it can be
classified into groups, conventional methods, soft computing methods and evolutionary method. In this study,
we proposed a new algorithm for MPPT of a photovoltaic system is Type_2 Fuzzy Logic Control system
(T2FLC) to improve the MPPT performance. The T2FLC which can handle with rule uncertainties the application
of this T2FLC, involves operations of fuzzification, inference and output processing. A T2FLC simulated using
the MATLAB/Simulink package. The results show that the T2FLC algorithm based MPPT fulfil faster and best
performance compared with the T1FLC algorithm and the conventional P&O algorithm.
ER  -