System of adaptive fuzzy control of the electrical mode of the arc steel arching furnace

2022;
: pp. 37 - 47
1
Lviv Polytechnic National University
2
Lviv Polytechnic National University, Department of Electromechatronics and Computerized Electromechanical Systems
3
Lviv Polytechnic National University, Department of Electromechatronics and Computerized Electromechanical Systems
4
Lviv Polytechnic National University, Ukraine
5
Lviv Polytechnic National University, Department of Electromechatronics and Computerized Electromechanical Systems

The electrical mode (ER) of arc steel-melting furnaces (ASF) is characterized by a dynamic, random, non-stationary, phase-by-phase asymmetric and phase-by-phase interconnected nature of the change. Control takes place in the conditions of incomplete information about the state of the ER and the technological process and changes in the parameters of the elements of the power circuit and the three- phase system of arcs. It is possible to obtain high-quality stabilization of the coordinates of the electrical mode with the specified characteristics based on the implementation of adaptive fuzzy control models. The article developed a fuzzy adaptive model for phase-independent adjustment of the coordinates of the electrical mode of chipboard. For this purpose, system engineering solutions are proposed for the formation of the EP mismatch signal, which provides an estimate of the deviation of the electrical mode from the given one, corresponding to the state of combustion of the three-phase arc system. The design of the Mamdani fuzzy inference (Fuzzy inference) system for the implementation of a fuzzy model of the generation of the EP discordant signal was carried out, and a model for adapting its parametric degrees of freedom to the parameters and characteristics of disturbances of the current melting stage was proposed. A structural Simulink model of the three-phase in instantaneous coordinates of the proposed electromechanical system of fuzzy adaptive control of EP chipboard coordinates was developed, and computer studies of the dynamics of working out extreme deterministic disturbances were performed. The obtained research results confirmed the expediency of implementing autonomous phase-independent regulation of electrical regime disturbances.In phase channels where there are no disturbances, the electrodes do not move, and thus, false electrode movements are eliminated during disturbance regulation using the fuzzy control model developed in the article, and, in addition, the disturbance regulation time is reduced, i.e., the speed of the system increases. These factors, as is known, have a positive effect on increasing the dynamic accuracy of stabilization of ER coordinates when adjusting random disturbances of the electrical regime, i.e., their dispersion decreases, as a result, indicators of energy efficiency and electromagnetic compatibility of the modes of the arc furnace and the power supply network improve.

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