Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/10001464,
  title    = {Study of Two MPPTs for Photovoltaic Systems Using Controllers Based in Fuzzy Logic and Sliding Mode},
  author    = {N. Ouldcherchali and  M. S. Boucherit and  L. Barazane and  A. Morsli},
  country   = {Algeria},
  institution={University of Medea},
  abstract  = {In this study, we proposed two techniques to track the
maximum power point (MPPT) of a photovoltaic system. The first is
an intelligent control technique, and the second is robust used for
variable structure system. In fact the characteristics I-V and P–V of
the photovoltaic generator depends on the solar irradiance and
temperature. These climate changes cause the fluctuation of
maximum power point; a maximum power point tracking technique
(MPPT) is required to maximize the output power. For this we have
adopted a control by fuzzy logic (FLC) famous for its stability and
robustness. And a Siding Mode Control (SMC) widely used for
variable structure system. The system comprises a photovoltaic panel
(PV), a DC-DC converter, which is considered as an adaptation stage
between the PV and the load. The modelling and simulation of the
system is developed using MATLAB/Simulink. SMC technique
provides a good tracking speed in fast changing irradiation and when
the irradiation changes slowly or it is constant the panel power of
FLC technique presents a much smoother signal with less
fluctuations.},
  {International Journal of Electrical and Computer Engineering },  volume    = {9},
  number    = {5},
  year      = {2015},
  pages     = {1260 - 1265},
  ee        = {http://waset.org/publications/10001464},
  url       = {http://waset.org/Publications?p=101},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 101, 2015},
}