| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 700553 | Control Engineering Practice | 2009 | 18 Pages |
Abstract
Modelling and simulator development for electric arc furnaces (EAFs) are of significant importance in designing control systems and in performance optimisation of EAFs. This paper presents a method based on adaptive neuro-fuzzy inference systems (ANFIS) for modelling and simulating EAFs with the focus on the regulator loop that is used for positioning the electrodes. The effectiveness of the simulator is shown through experiments by comparing the simulator outputs with actual plant data, using the EAF of Gerdau Ameristeel Whitby (GAW) in Ontario, Canada.
Related Topics
Physical Sciences and Engineering
Engineering
Aerospace Engineering
Authors
F. Janabi-Sharifi, G. Jorjani,