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The Study On Burnning Control And Networks Management Of Gas Boiler

Posted on:2004-05-22Degree:MasterType:Thesis
Country:ChinaCandidate:Y J ChenFull Text:PDF
GTID:2132360092992214Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
Now design efficiency of common gas boiler can reach 90 percent or so, but various factors such as load, fuel quality, work condition and pressure which result in uncompleted burning of gas and excess air, decrease boiler hot efficiency and cause resources waste and environment pollution. Considering these it is essential to adopt closed loop feedback control to boiler burning system. There are 3 parts of heat loss for gas boiler, including heat emission loss, uncompleted burning loss and fume hot loss, Uncompleted burning loss decreases following the increase of excess air coefficient, while fume hot loss increases. It is obvious that there exit an optimum coefficient of excess air which make boiler own highest efficiency which is the purpose of burning control. In order to achieve this purpose this paper emphases on finding the optimum excess air coefficient and feedback control of burning effect. Because of the great disturbance of boiler burning system, on the spot, we don't find absolute excess air coefficient but its optimum interval. The paper creatively puts forward a kind of gradual adapt algorithm based Genetic Algorithms to dynamical find optimum excess air coefficient of boiler. It is very quick to find optimum interval making use of this algorithm. It is the foundation of boiler burning control to find optimum excess air coefficient, in addition, it is key to adjust the damper opening and valve opening use fuzzy control algorithm according to the content signal of O2 and CO in fume road. Although these two algorithms are mainly to burning control system of boiler, they can also be reference effect on other similar control system. VB6.0 is used to realize above-mentioned algorithms and burning control is also simulated through soft. When program being designed, some room has been left for future. According to experiment, we testify the fuzzy control algorithm is right and dependable. In addition, a boiler net model is raised which will be a reference to net management and control of boiler.
Keywords/Search Tags:gas boiler, burning control, fuzzy algorithm, genetic algorithm, field bus
PDF Full Text Request
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