• DocumentCode
    2893125
  • Title

    Position Control of a DC Motor Used in Solar Panels with Artificial Neural Network

  • Author

    Sahin, Mesut ; Bulbul, Halil I. ; Colak, Ilhami

  • Author_Institution
    Renewable Energy Res. Group - GURER, Gazi Univ., Ankara, Turkey
  • Volume
    2
  • fYear
    2012
  • fDate
    12-15 Dec. 2012
  • Firstpage
    487
  • Lastpage
    492
  • Abstract
    In this study, it is aimed to model a dc motor which will be able to achieve panel movement in solar panels and realize position control using artificial neural networks method in LabView. Position control of DC motors is possible with position sensors integrated to motors or external position sensors. The most popular of these sensors are encoder and transducer. Within this study, by using the LabView program in the computer environment, DC motor model was created and simulations were done on this model. In simulations, the motor current, position and velocity were measured from motor model. The Current and position data collected from simulations was used as the closed-loop feedback control system. As the control system, artificial neural network (ANN) was used due to the nonlinear structure of the current data.
  • Keywords
    DC motors; closed loop systems; feedback; neural nets; position control; power engineering computing; DC motor; LabView; artificial neural network; closed-loop feedback control system; encoder; external position sensors; motor current; nonlinear structure; panel movement; position control; solar panels; transducer; Artificial neural networks; DC motors; Equations; Load modeling; Mathematical model; Position control; Velocity control; Artificial Neural Network; Back Propagation Algorithm; DC Motor; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Applications (ICMLA), 2012 11th International Conference on
  • Conference_Location
    Boca Raton, FL
  • Print_ISBN
    978-1-4673-4651-1
  • Type

    conf

  • DOI
    10.1109/ICMLA.2012.216
  • Filename
    6406783