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Abstract

The article considers the main stages of identification of static and dynamic properties of the parameter of the process of automatic pressure control in the working space of a heating furnace. The difficulty of determining the values of the parameters of the controlled process is caused several factors: by the continuity of the furnaces, the impossibility of conducting active experiments to determine the actual characteristics of the object, the furnace pressure is affected by the opening of flue dampers for loading and unloading metal. The analysis of experimental data is carried out, the analytical static characteristic of the object is dependence of the pressure in the furnace on the station of chimney slide valve. Three variants of modeling the dynamics of the controlled process are proposed: first-order inertia with delay, second-order inertia with delay and without delay. The parameters of the models were determined graphically, by the Ormans method and by the optimization method using the MS Excel addin "solution search".A comparative analysis of the accuracy of modeling the dynamic properties of the controlled parameter using the integral quadratic criterion was carried out. The results of calculations of parameters of a typical pressure control circuit in a heating furnace are presented. The resulting model makes it possible to conduct computer experiments to study the behavior of automatic pressure control systems in the working space of the furnace for different initial conditions, to choose optimal methods and laws of regulation in accordance with the task.

Keywords:

methodical furnace, furnace pressure, identification, mathematical model, dynamic objects parameters, furnace pressure control, Ormans method

Sukhonosova Tatiana G. – Assistant Professor (Eng.), Automated Control Systems Department, Power Engineering and Automated Systems Institute, Nosov Magnitogorck State Technical University, Magnitogorsk, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Yarullin Arslan R. – bachelor degree student of Automated Control Systems Department, Power Engineering and Automated Systems Institute, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Novak Vladimir S. - bachelor degree student of Automated Control Systems Department, Power Engineering and Automated Systems Institute,Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.