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

fYear

2011

fDate

27-29 April 2011

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

EUROCON - International Conference on Computer as a Tool (EUROCON), 2011 IEEE

Conference_Location

Lisbon

Print_ISBN

978-1-4244-7486-8

Type

conf

DOI

10.1109/EUROCON.2011.5929362

Filename

5929362