@article{MAKHILLJEAS2018131516642,
    title = {Study of Photovoltaic Maximum Power Point Tracking
Fed DC Motor Improvement Performance},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {15},
    pages = {6238-6245},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.6238.6245},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.6238.6245},
    author = {Nashwan,Bashar and},
    keywords = {Photovoltaic cell,direct current motor,fuzzy logic,Genetic algorithm,disturbance,loop},
    abstract = {The photovoltaic cells have been operated to produce the energy power supply depended on the
environment weather factors (radiation, temperature). The environment state conditions should be identified
to regulator the organization of the highest power point onthe photovoltaic cells. This research has been
studied, designed and tested for searching the highest point of generated power by solar cells through speed
control direct current separately excited motor. A mamdani type of fuzzy logic control has been studied and
designed. A Genetic algorithm has been studied and programed to overcome of the computation time which
used to obtain the gains of fuzzy logic controller. The hybrid controller (fuzzy logic based on the Genetic
algorithm) had been operated to tracking the highest point of the PVcells generated power and improving the
performance of the motor speed response. The comparative study between open loop system and closed loop
system results with variables environment state and load torque disturbance.}
    }