Title :
Fuzzy logic controller support to passengers´ comfort for electric train coach heating system
Author :
Beinarts, Ivars ; Levchenkov, Anatoly
Author_Institution :
Fac. of Power & Electr. Eng., Riga Tech. Univ., Riga, Latvia
Abstract :
In this article interest is concentrated on the heating, ventilation and air conditioning (HVAC) system control optimization in passengers´ coach of electric train. Idea is to use fuzzy logic task for measure comfort level of passengers´ and adjust of HVAC control to maximize it. Target is creating an algorithm and coordination mechanism for intelligent HVAC system allowing more flexible control of the system´s compressor, fan and heater operation, and, therefore, improvement of efficiency and energy saves. This paper provides the mathematical model and algorithm for optimal control of the HVAC system.
Keywords :
HVAC; compressors; electric locomotives; fans; fuzzy control; optimal control; HVAC control system; air conditioning; electric train coach heating system; fan control; fuzzy logic controller; intelligent HVAC system coordination mechanism; passengers comfort; system compressor control; ventilation system; Algorithm design and analysis; Fuzzy logic; Meteorology; Process control; Resistance heating; HVAC system; environmental parameters; fuzzy logic controller; intelligent control;
Conference_Titel :
EUROCON - International Conference on Computer as a Tool (EUROCON), 2011 IEEE
Conference_Location :
Lisbon
Print_ISBN :
978-1-4244-7486-8
DOI :
10.1109/EUROCON.2011.5929362
