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Usage of Neuro-Fuzzy Controller for Passengers’ Interior Heating System of Railway Electric Transport

By Ivars Beinarts and Anatolijs Ļevčenkovs


In this article interest is concentrated on the heating, ventilation and air conditioning (HVAC) system control optimization in passengers’ interior of public electric transport vehicle. Idea is to use neuro-fuzzy controller 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. The methods of the problem solving and structure of problem solving algorithm are given in the article. The elaborated control system model using neuro-fuzzy controller can be used for sustaining microclimate in public electric transport, different facilities and buildings. There are main conclusions at the end of article

Topics: heating system, neuro-fuzzy, optimal control
Publisher: Chair of Automatic Control in Transport, Faculty of Transport, Silesian University of Technology
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