POSITION CONTROL of a DC MOTOR USED in SOLAR PANELS WITH ARTIFICIAL NEURAL NETWORK


ŞAHİN M. , BÜLBÜL H. İ. , Colak I.

11th IEEE International Conference on Machine Learning and Applications (ICMLA), Florida, United States Of America, 12 - 15 December 2012, pp.487-492 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/icmla.2012.216
  • City: Florida
  • Country: United States Of America
  • Page Numbers: pp.487-492

Abstract

In this study, it is aimed to model a de motor which will be able to achieve panel movement in solar panels and realize position control using artificial neural networks method in Laview. 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, artifical neural network (ANN) was used due to the nonlinear structure of the current data.