Abstract
This paper presents a fuzzy control and a conventional proportional derivative control for the electrode positioning system of a three-phase electric arc furnace. Generally, it is necessary to maintain constant arc lengths for these kinds of furnaces. The two control strategies proposed in this paper regulates the current of the electric arc because arc length depends by the electric arc current. In order to do this, a new model of the electric arc developed by the authors of this paper was used. This paper illustrates a comparison of the performance analysis of a conventional PD controller and a fuzzy based intelligent controller. The fuzzy intelligent based controller has two inputs and one output. The whole systems are simulated by using of Matlab/Simulink software. These systems are tested when applying a disturbance in the process. The responses of the closed-loop systems illustrates that the proposed fuzzy controller has better dynamic performance, rapidity and good robustness as compared to the proposed PD controller.
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References
Taslimian, M., Shabaninia, F., Vaziri, M., Vadhva, S.: Fuzzy type-2 electrode position controls for an electric arc furnace. In: 2012 IEEE 13th International Conference on Information Reuse and Integration (IRI), pp. 498–501. IEEE (2012)
Panoiu, M., Panoiu, C., Deaconu, S.: Study about the possibility of electrodes motion control in the EAF based on adaptive impedance control. In: 2008 Power Electronics and Motion Control Conference, EPE-PEMC 2008, pp. 1409–1415. IEEE (2008)
Hong, H., Mao, Z.: Controller design for electrode regulating system of electric arc furnace. In: 2015 27th Chinese Control and Decision Conference (CCDC), pp. 864–867. IEEE (2015)
Li, X., Lu, X., Wang, D.: Arc furnace electrode control system design. In: 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering (CMCE), vol. 4, pp. 364–366. IEEE (2010)
Khoshkhoo, H., Sadeghi, S.H.H., Moini, R., Talebi, H.A.: An efficient power control scheme for electric arc furnaces using online estimation of flexible cable inductance. Comput. Math Appl. 62(12), 4391–4401 (2011). Elsevier
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)
Hui, Z., Fa-Zheng, C., Zhuo-qun, Z.: Study about the methods of electrodes motion control in the EAF based on intelligent control. In: 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering (CMCE), vol. 4, pp. 68–71. IEEE (2010)
Panoiu, M., Ghiormez, L., Panoiu, C.: Adaptive neuro-fuzzy system for current prediction in electric arc furnaces. In: Balas, V.E., Jain, L.C., Kovacevic, B. (eds.) Soft Computing Applications, Advances in Intelligent Systems and Computing, vol. 356, pp. 423–437. Springer International Publishing, Heidelberg (2016)
Panoiu, M., Panoiu, C., Ghiormez, L.: Modeling of the electric arc behavior of the electric arc furnace. In: Balas, V.E., Fodor, J., Várkonyi-Kóczy, A.R., Dombi, J., Jain, L.C. (eds.) Soft Computing Applications. AISC, vol. 195, pp. 261–271. Springer, Heidelberg (2012)
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)
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Ghiormez, L., Prostean, O., Panoiu, M., Panoiu, C. (2016). Fuzzy Logic and PD Control Strategies of a Three-Phase Electric Arc Furnace. In: Nguyen, NT., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9875. Springer, Cham. https://doi.org/10.1007/978-3-319-45243-2_47
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DOI: https://doi.org/10.1007/978-3-319-45243-2_47
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