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The Application Of DCS In Controlling The Sodium Silicate Furnace

Posted on:2015-07-05Degree:MasterType:Thesis
Country:ChinaCandidate:Y F ZhouFull Text:PDF
GTID:2181330452950625Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
The controlling process of the furnace in the producing process of sodiumsilicate is very important. Recently the control methods are mostly based on manualcontrol with a control algorithm of traditional PID. As a consequence, the controleffect is not that good. Thereby, it is highly critical and desirable to use an excellentautomatic control strategy and an advanced control algorithm.In this thesis, the overall strategy for the melting section was firstly designedbased on the analysis of the controlling demand of the sodium silicate furnace system.More detailedly, the automatic control circuit for the temperature, pressure and liquidlevel were then designed according to the demand.The control strategy of temperature in the sodium silicate furnace was soimporting that it is highly vital to choose a suitable control algorithm for the realizingof temperature control. Thereby, a fuzzy adaptive PID control algorithm was finallychosen based on the characters of the temperature control object and the controlalgorithms.After analyzing of the controller structure and mechanism of the fuzzy adaptivePID control algorithm, the mathematic model of the temperature object was deducedand further discussed in the design procedure of the fuzzy adaptive PID controlalgorithm towards temperature control. The design procedure included thedetermination of subordinate function and the formulation of fuzzy rule, which wasthen simulated. The simulated results were further compared with that of traditionalPID algorithm, which reveals that the former possesses a higher control accuracy andbetter dynamic property.In the final part, the automatic control process was realized via hardwareselection and software configuration in the ECS-100system, including theconfigurations of flow chart, tendency chart and statements, and the design of controlscheme. Moreover, the design of fuzzy adaptive PID was realized in the SCXlanguage programming environment. Finally, the automatic controlling of the overallsodium silicate furnace system was achieved in this programming environment.
Keywords/Search Tags:sodium silicate furnace, fuzzy adaptive PID, ECS-100system, PID, configuration
PDF Full Text Request
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