@article{MAKHILLJEAS2019141518129,
    title = {Type_2 Fuzzy Logic Controller System of Maximum Power Point Tracking (MPPT)},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {15},
    pages = {4973-4979},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.4973.4979},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.4973.4979},
    author = {Ammar,Safaa and},
    keywords = {Interval Type_2 Fuzzy Logic (IT2FL),MPPT,PV,the Type_2 Fuzzy Logic Controller (T2FLC),algorithm,performance},
    abstract = {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.}
    }