Development of Neural-Network Based Control Algorithm for Train Adaptive and Smooth Braking System

Intelligent Technologies in Logistics and Mechatronics Systems (ITELMS 2013): Proceedings of 8th International Conference 2013
Andrejs Potapovs, Mihails Gorobecs, Anatolijs Ļevčenkovs

This paper provides a new insight into the smooth and precise adaptive railway transport braking system design. The first phase of the development is described and includes a development of a necessary mathematical and computer model. Components of new adaptive braking system and their interactions are defined. Mathematical model contains equations that describe the movement of the train and the pneumatics braking system of the train, as well as offering new features of the developed system, which will adaptively adjust the service brake modes and will perform real-time system diagnostics without any human interaction. The computer model and simulation results are described in this position paper.

Atslēgas vārdi
Adaptive control systems, intelligent control, railway transport embedded devices, modelling.

Potapovs, A., Gorobecs, M., Ļevčenkovs, A. Development of Neural-Network Based Control Algorithm for Train Adaptive and Smooth Braking System. No: Intelligent Technologies in Logistics and Mechatronics Systems (ITELMS 2013): Proceedings of 8th International Conference, Lietuva, Panevėžys, 23.-24. maijs, 2013. Kaunas: Technologija, 2013, 196.-199.lpp. ISSN 2345-0088. e-ISSN 2345-0096.

Publikācijas valoda
English (en)