PID Parameter Setting on Electrode Adjustment System of Electric Arc Furnace Based on RBF Neural Network

doi:10.11985/2017.04.003

Abstract

Abstract:

Because conventional PID control is difficult to meet the complex conditions for electrode adjustment system of electric arc furnace, the radial basis function (RBF) neural network is introduced into the PID control, a setting method of RBF-PID is proposed in this paper. By RBF neural network identifies Jacobian information of control object, selecting incremental PID gradient descent algorithm sets existing PID parameters, a RBF-PID controller of electrode regulating system is designed. The simulation results verify that RBF-PID controller can real-time set the PID parameters, realize quickly and accurately control to electrode regulating system.

Key words: Electric arc furnace, electrode adjustment system, radial basis function neural network, PID control, parameter setting

CLC Number:

TP273

Lu Jun,Huo Jinbiao. PID Parameter Setting on Electrode Adjustment System of Electric Arc Furnace Based on RBF Neural Network[J]. Journal of Electrical Engineering, 2017, 12(4): 18-21.

Figures/Tables 5

References 10

[1]	王育飞, 潘艳霞, 姜建国 . 基于Matlab的交流电弧炉随机模型与仿真[J]. 高压电技术, 2008,34(5):973-977.
	Wang Yufei, Pan Yanxia, Jiang Jianguo . Stochastic model of AC electric arc furnace based on Matlab[J]. High Voltage Engineering, 2008,34(5):973-977.
[2]	刘金琨 . 智能控制[M]. 北京: 电子工业出版社, 2013.
[3]	陈兵 . 一种基于神经网络的电弧炉智能控制[D]. 西安:西安理工大学, 2003.
[4]	王琰, 毛志忠, 李妍 , 等. 一种新的电弧炉时域模型[J]. 东北大学学报, 2009,30(4):487-490.
	Wang Yan, Mao Zhizhong, Li Yan , et al. A new time domain arc model for arc furnace[J]. Journal of Northeastern University (Natural Science), 2009,30(4):487-490.
[5]	张世峰, 张绍德 . 电弧炉电极系统双模控制策略研究及应用[J]. 电子科技大学学报, 2008,37(1):145-147.
	Zhang Shifeng, Zhang Shaode . Research and application of arc furnace electrode system based on dual-mode control[J]. Journal of University of Electronic Science and Technology of China, 2008,37(1):145-147.
[6]	Anna S H, Arnar G, Ariv V . Current control of a three-phase submerged arc ferrosilicon furnace[J]. Control Engineering Practice, 2002,10(4):457-463. doi: 10.1016/S0967-0661(01)00104-6
[7]	Mokhtari H, Hejri M . A new three phase time-domain model for electric arc furnaces using Matlab[J]. Transmission & Distribution Conference & Exhibition: Asia Pacific IEEE/PES, 2002,3:2078-2083. doi: 10.1016/j.epidem.2019.100378 pmid: 31864130
[8]	鲁军, 霍金彪, 张广跃 . 电弧炉电极调节系统的模糊解耦控制器[J]. 电工技术学报, 2015,30(12):27-33.
	Lu Jun, Huo Jinbiao, Zhang Guangyue . Fuzzy decoupling controller on electrode regulator system of electric arc furnace[J]. Transactions of China Electrotechnical Society, 2015,30(12):27-33.
[9]	于丰, 毛志忠 . 电弧炉系统电弧模型的建立与参数辨识[J]. 东北大学学报, 2013,2(30):1547-1549.
	Yu Feng, Mao Zhizhong . An arc model for arc furnace system and parameter identification[J]. Journal of Northeastern University (Natural Science), 2013,2(30):1547-1549.
[10]	王俊国 . 基于神经网络的建模方法与控制策略研究[D]. 武汉:华中科技大学, 2004.

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