Parameter Estimation for an Electric Arc Furnace Model Using Maximum Likelihood

TecnoLógicas

卷:0

Christian D. Sepúlveda-Londoño¹  Mauricio A. Alvarez-López²  Jesser J. Marulanda-Durango² 

[1] Grupo de investigación en Electrónica de Potencia, Universidad Tecnológica de Pereira, Pereira,;

[2] Programa de Ingeniería Eléctrica, Universidad Tecnológica de Pereira, Pereira,;

关键词: Horno de arco;    armónicos;    modelo dinámico;    máxima verosimilitud;   

DOI  :  

来源: DOAJ

【 摘 要 】

In this paper, we present a methodology for estimating the parameters of a model for an electrical arc furnace, by using maximum likelihood estimation. Maximum likelihood estimation is one of the most employed methods for parameter estimation in practical settings. The model for the electrical arc furnace that we consider, takes into account the non-periodic and non-linear variations in the voltage-current characteristic. We use NETLAB, an open source MATLAB^® toolbox, for solving a set of non-linear algebraic equations that relate all the parameters to be estimated. Results obtained through simulation of the model in PSCAD^TM, are contrasted against real measurements taken during the furnance's most critical operating point. We show how the model for the electrical arc furnace, with appropriate parameter tuning, captures with great detail the real voltage and current waveforms generated by the system. Results obtained show a maximum error of 5% for the current's root mean square error.

【 授权许可】

Unknown