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Research On Train Air-Condition Control System Based On Index Of Comfort

Posted on:2006-03-10Degree:MasterType:Thesis
Country:ChinaCandidate:X ShenFull Text:PDF
GTID:2132360155954945Subject:Power electronics and electric drive
Abstract/Summary:PDF Full Text Request
With the constant development of economy and the constant improvement of living standard , passengers put forward to higher thermal comfort, however the target value of temperature is adjusted by trainman in the air-conditioning train, the degree of thermal comfort of the environment of train often can not satisfy the comfort requirement of passengers. Furthermore that proportion of new wind and back wind is changeless makes the character of air become poor when there are a lot of passengers and wastes energy when there are few passengers.To solve the problems, control means based on thermal comfort index which including not only the influence of environment factor but also the influence of body factor is applied to the control of thermal environment. We choose indirect comfort control method in which temperature establishing value is ascertained by humidity, air velocity and mean radiant temperature. In this means, air temperature is the direct target to be controlled and we control it by fuzzy control. At the same time the humidity is so low in winter that it makes passengers feel very dry. So fuzzy control is applied in the control of humidity of air ,it makes the humidity in carriage keep in a range making people comfortable.Aimed at the problem of air quality and energy-conserving question,the amount of new wind is controlled by density of carbon dioxide,thus achieve the purpose to control indoor air quality rationally and solve the problem of low air quality when there are a lot of passengers and energy wasting when there are few passengers.Control of temperature, humidity and the amount of new wind is emulated by MATLAB/Simulink and the results display that the effect of control is very well. At the same time the systematic software and hardware is designed in the thesis.
Keywords/Search Tags:thermal comfort, fuzzy control, new wind amount, air quality, simulation
PDF Full Text Request
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