Optimal control of the electrical mode of an arc furnace on the basis of the three-dimensional vector of phase currents

Lozynskyy, Orest; LozynskyiO, A.; Paranchuk, Yaroslav; Biletskyi, Yurii

doi:10.23939/mmc2019.01.069

Cited by 8 publications

(5 citation statements)

References 6 publications

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“…The change in dynamic resistance R d obtained on the basis of experimental voltampere characteristics and its approximation using (16) for I arc = 10 mm at a 11 = 9.4, a 21 = 0.38, a 31 = 18, a 41 = 2 and σ = 51, 000 are given in Figure 4b. To take into account the asymmetry of the Volt-Ampere characteristic of the arc, it is necessary to separately determine the coefficients a 11 , a 21 , a 31 , a 41 and σ at I arc < 0 and I arc ≥ 0.…”

Section: Mathematical Model Of Arc Space Of Electrical Arc Furnacementioning

confidence: 99%

“…Depending on the class of tasks, researchers often use simplified models of individual subsystems. In particular, in the synthesis of EAF electrodes movement control systems, the model of the power supply system is ignored as a whole, using only Volt-Ampere characteristics at different arc lengths [14][15][16]. On the other hand, when studying the influence of EAF on the electrical network, the processes in the EAF electrode movement are not taken into account, using Volt-Ampere characteristics of arcs at given values of arc length or given laws of its change [1][2][3]8,[17][18][19].…”

Section: Introductionmentioning

confidence: 99%

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A Mathematical Model of Electrical Arc Furnaces for Analysis of Electrical Mode Parameters and Synthesis of Controlling Influences

et al. 2022

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The synthesis of a real-time model of the electric mode of an arc steelmaking furnace is shown. This model is based on the method of medium-voltage and can be used to analyze the impact of the arc steelmaking furnace on the supply network at different stages of the melting process at different control systems of the electromechanical electrode movement system, and to create model-predictive control systems of electrode movement, when control using hardware in the loop technology. To implement the chosen method, the dynamic arc resistance was used. The last was obtained on the basis of the averaged experimentally taken volt-ampere characteristics of the arc. In paper was proposed its approximation as a current function and arc length. The simulation results obtained using the created model for different operation modes of the arc steelmaking chipboard for a system with a traditional regulator of the electrode movement system are demonstrated.

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Section: Mathematical Model Of Arc Space Of Electrical Arc Furnacementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Mathematical Model of Electrical Arc Furnaces for Analysis of Electrical Mode Parameters and Synthesis of Controlling Influences

et al. 2022

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“…All of these parameters are interrelated in a complex way, and therefore there are many interpretations to understand "optimal" control strategies [3]. An important aspect of all optimal strategies is power consumption and losses [4][5][6]. Analysing the energy consumption of EAFs, factors related to the technological mode, in particular the power transferred to the arc gap, is traditionally considered.…”

Section: Introductionmentioning

confidence: 99%

Electric Arc Furnace Electrode Movement Control System Based on a Fuzzy Arc Length Identifier

Kozyra,

Lozynskyy,

Łukasik

et al. 2023

Energies

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From the point of view of the synthesis of control influences, arc steelmaking furnaces are complex nonlinear objects with strongly expressed mutual influences. It has been demonstrated that at a given supply voltage, the distribution of the current values of the phase currents in the quasi-steady-state mode makes it possible to estimate the situation in the arc space of an arc steelmaking furnace and identify the value of arc lengths. This dependence is preserved in transient modes. In order to identify arc lengths from the phase currents, it is proposed to use an approach based on the theory of fuzzy sets. The construction of the fuzzy arc length identifier rule base was carried out in two stages: the first stage used data from quasi-steady-state modes and the Wang–Mendel algorithm; the second stage involved adding a new rule to the database if the activity level of the formed rules was lower than the established level α for the data obtained in the dynamic mode. Further optimization of the parameters of the fuzzy identifier for operation in dynamic modes was carried out using the “back-propagation” algorithm. Based on the identified values of arc lengths, a control system for the movement of electrodes in an arc steelmaking furnace was synthesised. The proposed control system makes it possible to eliminate unproductive electrode movements due to changes in the situation in other phases of the arc steelmaking furnace and simplifies the application of modern methods of synthesising a control system for such complex objects. The results obtained in the mathematical model have confirmed the effectiveness of the proposed control system for the movement of electrodes in an arc steelmaking furnace.

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“…The use of the control structure type MIMO (multiple inputs, multiple outputs) can improve the quality of control [14]. The synthesis of control effects in such a control system requires the use of a system model that allows one to take into account the mutual influences between the phases.…”

Section: Introductionmentioning

confidence: 99%

Combined Control System for the Coordinates of the Electric Mode in the Electrotechnological Complex “Arc Steel Furnace-Power-Supply Network”

et al. 2022

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To stabilize the electrical mode of an arc steelmaking furnace in the initial stages of melting, it is advisable to use a high-speed current-limiting system, in addition to the traditional electrode movement control system. This system is implemented by including the primary winding of the furnace transformer choke, controlled by thyristors. The use of such a system, on the one hand, reduces the negative impact of the arc steel furnace on the the power supply network operation and, on the other, affects the operation of the electrode movement system, built on the principle of an impedance regulator. In order to analyze the mutual influences between such systems, a mathematical model for the power supply and control system of the arc steelmaking furnace was created. The developed model can work in real time, which corresponds to the world trends of modern control system synthesis for complex technological objects. In the created model, the work of the combined control system with different approaches to the formation of the control effect in the high-speed circuit and the effect of the combined control system on the power supply system of the ASF are analyzed.

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Optimal control of the electrical mode of an arc furnace on the basis of the three-dimensional vector of phase currents

Cited by 8 publications

References 6 publications

A Mathematical Model of Electrical Arc Furnaces for Analysis of Electrical Mode Parameters and Synthesis of Controlling Influences

A Mathematical Model of Electrical Arc Furnaces for Analysis of Electrical Mode Parameters and Synthesis of Controlling Influences

Electric Arc Furnace Electrode Movement Control System Based on a Fuzzy Arc Length Identifier

Combined Control System for the Coordinates of the Electric Mode in the Electrotechnological Complex “Arc Steel Furnace-Power-Supply Network”

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