Abstract
The electric arc furnace is a nonlinear load, this nonlinearity being given by the electric arc. In this paper is performed a study in order to control the current of a three phase electric arc furnace. The control strategy is carried out in Matlab/Simulink and is used a model of the electric arc that was developed by the authors of this paper. The type of the controller used in this paper is a fuzzy logic one. This fuzzy system has the error and the change of error as inputs and the sending command to the execution element as output. The system is tested in two ways. The first case is when is modified the value of the reference parameter. In order to follow this reference parameter the controller should send command to the execution element so the length of the arc will be modified and be obtained the value of the set point parameter. The second case is when injecting disturbances at the length of the arc and the controller should reject these disturbances so the reference current is obtained again. The response of this system, tested in a closed-loop, illustrates that this proposed system has good dynamics, small overshot, good answering time, follow precisely the value of the reference parameter and reject well injected disturbances.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hauksdottir, A.S., Gestsson, A., Vesteinsson, A.: Current control of a three-phase submerged arc ferrosilicon furnace. Control Eng. Pract. 10(4), 457–463 (2002)
Hooshmand, R., Banejad, M., Esfahani, M.T.: A new time domain model for electric arc furnace. J. Electr. Eng. 59(4), 195–202 (2008)
Panoiu, M., Panoiu, C., Sora, I., Osaci, M.: About the possibility of power controlling in the three-phase electric arc furnaces using PSCAD EMTDC simulation program. Adv. Electr. Comput. Eng. 7(1), 38–43 (2007)
Panoiu, M., Panoiu, C., Ghiormez, L.: Modeling of the electric arc behaviour of the electric arc furnace. In: Proceedings of the 5th International Workshop on Soft Computing Applications, Szeged, Ungaria, pp. 261–271 (2012)
Ghiormez, L., Panoiu, M., Panoiu, C.: Harmonics analysis of the 3-phase electric arc furnace using models of the electric arc. In: Proceedings of the 3rd World Conference on Information Technology - WCIT-2012, Barcelon, Spain, pp. 424–430 (2012)
Panoiu, M., Panoiu, C., Sora, I.: Modeling of three phase electric arc furnaces. Acta Electroteh. 48(2), 124–132 (2007)
Hui, Z., Fa-Zheng, C., Zhuo-qun, Z.: Study about the methods of electrodes motion control in the EAF based on intelligent control. In: International Conference on Computer, Mechatronics, Control and Electronic Engineering (CMCE), vol. 4, pp. 68–71. IEEE (2010)
Yan, L.I., et al.: Model predictive control synthesis approach of electrode regulator system for electric arc furnace. J. Iron. Steel Res. Int. 18(11), 20–25 (2011)
Panoiu, M., Ghiormez, L., Panoiu, C.: Adaptive neuro-fuzzy system for current prediction in electric arc furnaces. In: Soft Computing Applications, Advances in Intelligent Systems and Computing, vol. 356, pp. 423–437. Springer, New York (2016)
Moghadasian, M., Alenasser, E.: Modelling and artificial intelligence-based control of electrode system for an electric arc furnace. J. Electromagn. Anal. Appl. 3, 47–55 (2011)
Acknowledgements
This work was developed through the Partnerships in Priority Areas - PN II, with the support of ANCS, UEFISCDI, Project No. 36/2012, Code: PN-II-PT-PCCA-2011-3.2-1519.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Ghiormez, L., Prostean, O., Filip, I., Panoiu, M. (2018). Fuzzy Logic Control Strategy for a Three-Phase Electric Arc Furnace. In: Balas, V., Jain, L., Balas, M. (eds) Soft Computing Applications. SOFA 2016. Advances in Intelligent Systems and Computing, vol 634. Springer, Cham. https://doi.org/10.1007/978-3-319-62524-9_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-62524-9_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-62523-2
Online ISBN: 978-3-319-62524-9
eBook Packages: EngineeringEngineering (R0)