Fuzzy Controller In The Reactor Of Hydrodesulphurization

In chemical experiments, Heating reactions are quite common chemical reactions In chemical experiments. As Electric heating furnace is applicable to all kinds of chemical reaction occasions because of its simple structure and good sealing performance, it had been widely applied. However, furnace characteristic parameters are real-time changed in the process of heating, it is highly difficult to solve overshoot and lag issues with the application of general PID control method. The topic about temperature control in the hydrodesulfurization catalytic reaction is based on this application background.Reason of overshoot and lag electric heating furnace generated is exactly analyzed, and structure of fuzzy control system is introduced. Moreover, advantages and disadvantages of several common fuzzy control logical systems are well compared by analyzing the fuzzy subsets, membership functions, fuzzy language and reasoning rules in fuzzy control principles.For temperature control-requirements in catalytic reactions and system characteristics of electric heating furnace, it presented a fuzzy control method with multiple adjusting factors, which can alter input weight in the-process of fuzzy output calculation according with changed adjusting factor. Therefore, implemented intelligence of fuzzy control, figured out overshoot issues in heating process, and reduced dramatic fluctuation of heating rate in temperature rise process of electric heating furnace.Introduced and programmable of PLC (programmable logical controller), used PLC as main controller of system to realize fuzzy control, and used Pointers of PLC to implement multisegment programming temperature rising control.Developed monitor software on the computer using Visual studio.net, and achieved PLC Ethernet communication adopting MODBUS TCP protocol. This software is divided into data processing module which implements for store and display of collected data and parameters Setting module for the parameters about temperature control and system monitor related.It has been verified effectively that algorithm of fuzzy control with adjusting factors could not only solve overshoot and heating rate issues in the process of temperature control of electric heating furnace, but also attain the prospective temperature control effects.