@article{MAKHILLRJAS2013879319,
    title = {ANFIS Controller Based MPPT Control of Photovoltaic Generation System},
    journal = {Research Journal of Applied Sciences},
    volume = {8},
    number = {7},
    pages = {375-382},
    year = {2013},
    issn = {1815-932x},
    doi = {rjasci.2013.375.382},
    url = {https://makhillpublications.co/view-article.php?issn=1815-932x&doi=rjasci.2013.375.382},
    author = {T. and},
    keywords = {MPPT,ANFIS,boost converter,VSI,Photovoltaic System},
    abstract = {This study proposes an artificial-intelligence-based solution 
  to interface Photovoltaic (PV) array with the three phase ac load and to deliver 
  maximum power to the load. The maximum power delivery to the load is achieved 
  by MPPT controller which employs Adaptive Neuro-Fuzzy Inference System (ANFIS). 
  The proposed ANFIS-based MPPT offers an extremely fast dynamic response with 
  great accuracy. The system consists of photovoltaic module, boost converter, 
  Voltage Source Inverter (VSI) and ANFIS controller to control the duty cycle 
  of boost converter switch as well as the modulation index of VSI. The entire 
  proposed system has been modeled and simulated using MATLAB/SIMULINK Software. 
  The simulation results show that the proposed ANFIS MPPT controller is very 
  efficient, very simple and low cost.}
    }