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Abstract

The productivity of a modern blast furnace is 3–4 thousand tons per day. Keeping the blast furnace running smoothly for maximum productivity is the main concern of the process staff. Numerous factors affecting the iron smelting process disrupt the process and require the formation of compensating control actions. One of the main parameters in controlling melting in the blast mode is the supply of natural gas (NG) and oxygen (Ox) to the furnace tuyere zone. The maximum productivity of a blast furnace is achieved at different NG/Ox ratios, depending on the influence of external factors. In the work, a system of search dynamic control of the natural gas supply was developed based on the method of extreme regulation. In automatic mode, the system evaluates the change in the current productivity of the blast furnace and generates a control action on the correction of the NG/Oxratio in the direction of maximizing the current productivity of the blast furnace. The blast-furnace process has a large inertia and delay. Taking this into account, a method of stepwise change of the control action is proposed, taking into account the process dynamic properties. The paper presents the implementation of the search algorithm and performs mathematical modeling of the search dynamic control system operation. The use of the proposed algorithm will improve the efficiency of managing the supply of natural gas to the blast furnace.

Keywords

blast furnace, pig iron process, dynamic search control, adaptive control, automatic control, control automatic optimization system, optimal control.

Boris N. Parsunkin D.Sc. (Engineering), Professor, Automated Control Systems Department, Power Engineering and Automated Systems Institute, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., https://orcid.org/0000-0003-1822-2632

Sergey M. Andreev D.Sc. (Engineering), Associate Professor, Head of the Department, Automated Control Systems Department, Power Engineering and Automated Systems Institute, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., https://orcid.org/0000-0003-0735-6723

Tatiana G. Sukhonosova Assistant Professor, Automated Control Systems Department, Power Engineering and Automated Systems Institute, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., https://orcid.org/0000-0002-1024-1612

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Parsunkin B.N., Andreev S.M., Sukhonosova T.G. Adaptive Search-Dynamic Control of Natural Gas Supply in Blast Furnace. Elektrotekhnicheskie sistemy i kompleksy [Electrotechnical Systems and Complexes], 2022, no. 2(55), pp. 40-46. (In Russian). https://doi.org/10.18503/2311-8318-2022-2(55)-40-46