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Final report on Contract No 7210-CB/126, 816, 943, 127, 1 September 1996 to 31 August 1999.

The overall objective of the project was to develop a control algorithm to optimise three-phase electric arc furnace (EAF) operation. The optimisation comprises the electric energy input, electrode consumption and refractory wear, and thuds improving the overall performance of the steel making process. The basis of the optimisation is a real-time fuzzy-control algorithm deduced from a thermal and electrical model of the furnace, which uses plant signals as input parameters. The output of the controller consists of phasewise set-points for the electrode regulator, which are computed for each transformer tab and operating set-point separately. The aim of the individual phase electrode regulation is to maintain the thermal balance, achieve a symmetrical energy input and maintain arc stability. The fuzzy controller hereby acts in addition to the electrode regulator. Moreover, the overall furnace performance should be optimised by monitoring and displaying the processed information on the state of the furnace together with operational advice to the furnace melting staff.

The results of the project can be summarised as follows: (i) Fuzzy logic technology is well suited to meet the requirements of an additional controller to fine tune the electrode regulator of three-phase EAFs. (ii) The developed fuzzy controller interacts primarily in the event of a thermal or electrical unbalance of the EAF, for example drifting furnace parameters or bad set-up of the electrode regulator, but has only a moderate effect during normal melting operation with a well-adjusted electrode regulator.

Additional information

Authors: MACKEL J, IBH, Aachen (DE)
Bibliographic Reference: EUR 20174 EN (2002), pp.83. Euro: 13.00
Availability: EUR-OP reference: KI-NA-20174-EN-S Available from EUR-OP sales agents. URL:
ISBN: ISBN: 92-828-8669-7
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