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Design And Realization Of Grate-kiln Automatic Control System

Posted on:2016-05-30Degree:MasterType:Thesis
Country:ChinaCandidate:S L LuoFull Text:PDF
GTID:2181330467991449Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Iron ore pellets are the main furnace charge of blast furnace ironmaking, and thequality of pellets directly affects the perfomance of iron products. In order to form aspherical iron-containing material with a certain strength and metallurgical properties,pellets must be finished products before the formation of the roasting process, includingpellet drying, roasting and cooling. Grate-kiln method is an advanced productiontechnology methods of currently pellets.Grate-kiln control system is a complex process of many disturbing factors.Especially in material thickness detection hysteresis which will make grate on largefluctuations in the feeding amount of green balls, green balls instability directly affect theyield and quality of pellets. Currently, the majority use of manual control can not achievesatisfactory results. The grate-kiln design and implementation of automatic rotary pelletproduction control system is studied in this paper. The main tasks are as follows:(1)Grate-kiln pelletizing automatic control system is designed in this paper. Thesystem is based on self-learning weighted mean filter method to control the grate andthickness of ring cooler;(2) A pelletizing temperature of preheating section fuzzy decoupling method isdesigned to achieve a temperature control pellets;(3) Pelletizing feedwater control algorithm based on hierarchical fuzzy controlmethod is proposed for raw material moisture control to achieve automatic pelletpelletizing water distribution control. Actual operating results show that: this system can effectively achieve the pelletmaterial layer thickness control and improve the quality of pellets and pellet pelletizingautomatic water control.
Keywords/Search Tags:Grate-Kiln, self-learning weighted mean filter method, pelletizingtemperature of preheating section, fuzzy decouple method, hierarchical fuzzy controlsystems
PDF Full Text Request
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