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
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;
Conference_Titel :
Machine Learning and Applications (ICMLA), 2012 11th International Conference on
Conference_Location :
Boca Raton, FL
Print_ISBN :
978-1-4673-4651-1
DOI :
10.1109/ICMLA.2012.216