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Research And Application On Intelligent Decoupling Control Of Coke-oven Chamber Pressure

Posted on:2020-03-19Degree:MasterType:Thesis
Country:ChinaCandidate:T ZhangFull Text:PDF
GTID:2381330578465511Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Coke oven is an industrial furnace with a unique structure for carbonizing coal to produce coke.The stability of the carbonization chamber pressure during the coke oven coking process can directly affect the coking quality of the coal,the life of the furnace and the surrounding environment.The carbonization chamber and pipeline pressure are relatively complex control objects.There are many disturbance factors and the pressure coupling of adjacent carbonization chambers in different coking periods is serious.However,the traditional collector pressure control method is difficult to ensure the pressure of each carbonization chamber in the production is stable.Within the current process requirements are no longer met.In order to better solve the above problems,the article firstly analyzes the characteristics of the carbonization chamber and the rising pipeline,which is the source of waste gas,combined with the coking process,the characteristics of the coke oven single carbonization chamber and the adjacent carbonization chamber,and establishes a single carbonization.The mechanism model between the chamber and the adjacent carbonization chamber is simulated and analyzed for the strong coupling of adjacent carbonization chambers in different coking periods(in the early stage of coking and in the middle of coking).Then,the thesis proposes to use the inverse system decoupling method to solve the coupling problem between adjacent carbonization chambers,and prove the reversibility of the adjacent carbonization chamber pressure system.The inverse system is approximated by the RBF neural network method,and the constructed inverse system is combined with the original system to form a pseudo-linear system,which realizes the linearization and decoupling of the coupled system.For the decoupled subsystem,the incremental PID method is used to control to further improve the stability of the composite system.The simulation of the composite control system is verified.The results show that the inverse system decoupling control method based on RBF can cancel the adjacent the coupling of the carbonization chamber pressure has a certain anti-interference ability.At the end of the thesis,the field application of the carbonization chamber pressure decoupling control system is introduced from the perspective of hardware and software.The communication between MATLAB and WinCC is realized based on OPC technology,and the whole furnace application of the system is realized by the lower computer PLC.It shows that the decoupling control system can meet the carbonization chamber pressure control requirements.
Keywords/Search Tags:Carbonization chamber, Decoupling control, Inverse system, RBF neural network, PLC
PDF Full Text Request
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