Modeling of Scheduling Theory in Intelligent Electric Transport System

Proceedings of the 3rd International Workshop "Intelligent Technologies in Logistics and Mechatronics Systems (ITELMS'2008)" 2008
Ivars Alps, Mihails Gorobecs, Anatolijs Ļevčenkovs, Leonīds Ribickis

In this paper authors presents modeling of neural network controller to control speed of DC drive. Main tasks of this research are to use artificial neural network for speed control of DC drive in virtual laboratory. The feed-forward back-propagation neural network is used for controller. Levenberg-Marquardt back-propagation algorithm is proposed as a training method. Neural network is trained to maintain rotation speed of DC drive in defined interval. Results of modeling show the possibility to use neural network controller for speed control of DC drive.

Atslēgas vārdi
Scheduling theory, modeling, electric transport, neural network

Alps, I., Gorobecs, M., Ļevčenkovs, A., Ribickis, L. Modeling of Scheduling Theory in Intelligent Electric Transport System. No: Proceedings of the 3rd International Workshop "Intelligent Technologies in Logistics and Mechatronics Systems (ITELMS'2008)", Lietuva, Panevezys, 22.-23. maijs, 2008. Kaunas: Technologia, 2008, 113.-119.lpp. ISBN 9789955255314.

Publikācijas valoda
English (en)