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Research on Soft Measurement for Arc Current of Electric Arc Furnace

Author: ShenLiFeng
Tutor: MaoZhiZhong
School: Northeastern University
Course: Control Theory and Control Engineering
Keywords: Electric arc furnace Arc current Arc voltage Soft Measurement Partial Least Squares
CLC: TM924.4
Type: Master's thesis
Year: 2008
Downloads: 56
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Abstract


Electric arc furnace steelmaking has to make full use of scrap resources steelmaking process short ton of steel low energy consumption , etc. , to adapt to the sustainable development of the situation of the international steel industry , so it has been more and more applications , has become the most important refining Reinforced one of the methods . The arc current and arc voltage is the most important part of the electric arc furnace control system the electrode controller input, accurate measurement of the arc current and the arc voltage is to ensure the normal working premise of the electrode controller . But how economical and precise measurement of the arc current and arc voltage is still existing problems . Jilin Tonghua Iron and Steel Company 120t arc furnace as the research object , the method of measurement of the arc current and arc voltage soft , precise arc current and arc voltage soft measurement model , the arc current and arc voltage Economic precise measurements. Firstly, according to the transformer principle , the arc current and arc voltage instantaneous value and the RMS mechanism model , given the relationship between arc current and arc voltage of the furnace transformer primary side current , voltage , three-phase load total active through the simulation analysis of the effectiveness of the model . Ignore the no-load current of the transformer and the three phases, nonlinear coupling model large error shortcomings for the mechanism of the modeling process , based on the characteristics of the electric arc furnace transformer , arc based on partial least squares regression (Partial Least Squares Regression) current and arc voltage soft measurement model . The simulation results show that the model fits the data created using the same voltage setting under the stall effect mechanism model fitting effect . Partial least squares regression model is not strong generalization performance data under different voltage settings stalls drawback is proposed based on the classification of partial least squares regression arc current and arc voltage soft measurement model . The simulation results show that the use of classification Partial Least Squares Regression modeling can greatly improve the accuracy and generalization performance of the model , in line with the standards of the engineering applications .

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CLC: > Industrial Technology > Electrotechnical > Electrification,electrical energy application > Electric heating > Electric arc furnace
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