Usage of Self-Organizing Map for Heating Control in Electric Train Passengers’ Interior

Proceedings of the CONTROLO 2008 Conference 2008
Peteris Balckars, Ivars Beinarts, Anatolijs Ļevčenkovs

In this article interest is concentrated on the heating, ventilation and air conditioning (HVAC) system control optimization in passengers’ interior of mechatronic system (public electric transportation vehicle). Idea is to use artificial neural network to create an algorithm and coordination mechanism for heating system parameters control to save electrical energy, and to increase the level of comfort for passengers. A special interest for investigations and further development is devoted to intelligent HVAC system allowing more flexible control of the system’s compressor, fan and heater operation, and, therefore, improvement of efficiency and energy saving. This paper provides the mathematical model and algorithm for optimal control of the climate control system.

Atslēgas vārdi
climate control, electrical processes, energy saving, neural network, self-organizing map

Balckars, P., Beinarts, I., Ļevčenkovs, A. Usage of Self-Organizing Map for Heating Control in Electric Train Passengers’ Interior. No: Proceedings of the CONTROLO 2008 Conference, Portugāle, Vila-Real, 21.-23. jūlijs, 2008. Vila-Real: Universidade de Trás-os-Montes e Alto Douro, 2008, 420.-425.lpp.

Publikācijas valoda
English (en)