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

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