Intelligent Control of Fused Magnesium Furnaces Based on SPSA

Abstract

Abstract: The adjustment of electrode currents for smelting process of fused magnesium furnace depends manual control mainly and the control effect is very poor, the currents fluctuation is very huge which leads to the instability of the product quality and great energy waste. As such, an intelligent control strategy was developed for fused magnesium furnace. The neural network controller based on SPSA algorithm and another controller based on rulebased reasoning were designed respectively according to different states. The electrode currents can be controlled automatically and the energy consumption is reduced based on the intelligent control strategy. The proposed control system is applied in a magnesium plant and the result shows its validity and effectiveness.

Key words: fused magnesium furnace, SPSA algorithm, neural network, rulebased reasoning

CLC Number:

TP273

WU Zhi-Wei, WU Yong-Jian, CHAI Tian-You. Intelligent Control of Fused Magnesium Furnaces Based on SPSA[J]. Journal of Shanghai Jiaotong University, 2011, 45(08): 1095-1100.

References

［1］ZHANG Xu, XUE Dongfeng, XU Dongli, et al. Growth of large MgO single crystals by an arcfusion method［J］. Journal of Crystal Growth, 2005, 280(1): 234238.

［2］ZHANG Xu, XUE Dongfeng, WANG Jiyang, et al. Improved growth technology of large MgO single crystals［J］. Journal of Crystal Growth, 2006, 292(2): 505509.

［3］陈太增, 陈国功, 贾世祥. 生产电熔镁砂主要工艺参数的确定［J］. 耐火材料, 1994, 28(1): 3234.

CHEN Taizeng, CHEN Guogong, JIA Shixiang. Determination of the principal technology parameter of producing electric smelting magnesia ［J］. Refractories, 1994, 28(1): 3234.

［4］郭茂先. 工业电炉［M］. 北京：冶金工业出版社，2002：100111.

［5］佟玉鹏, 张雄, 张化光. 交流三相电熔镁炉的最佳运行分析［J］. 控制工程, 2007, 14(2): 205211.

TONG Yupeng, ZHANG Xiong, ZHANG Huaguang. Analysis of optimal operation about purifying magnesium oxide threephase AC electric smelting furnace［J］. Control Engineering of China, 2007, 14(2): 205211.

［6］吴志伟, 吴永建, 柴天佑, 等. 一种基于规则推理的电熔镁炉智能控制系统［J］.东北大学学报(自然科学版), 2009, 30(11): 15261529.

WU Zhiwei, WU Yongjian, CHAI Tianyou, et al. Intelligent control system of fused magnesia production via rulebased reasoning［J］. Journal of Northeastern University (Natural Science), 2009, 30(11): 15261529.

［7］Wagner W P, Ottto J, Chung Q B. Knowledge acquisition for expert systems in accounting and financial problem domains［J］. KnowledgeBased Systems, 2002, 15(8): 439447.

［8］侯忠生, 许建新. 数据驱动控制理论及方法的回顾和展望［J］. 自动化学报, 2009, 35(6): 650667.

HOU Zhongsheng, XU Jianxin. On datadriven control theory: The state of the art and perspective［J］. Acta Automatica Sinica, 2009, 35(6): 650667.

［9］Spall J C. Multivariate stochastic approximation using a simultaneous perturbation gradient approximation［J］. IEEE Transactions on Automatic Control, 1992, 37(3): 332341.

［10］Spall J C. Implementation of the simultaneous perturbation algorithm for stochastic optimization［J］. IEEE Transactions on Aerospace and Electronic Systems, 1998, 34(3): 817823.

［11］SONG Qing. On the weight convergence of elman networks［J］. IEEE Transactions on Neural Networks, 2010, 21(3): 463480.

［12］LIOU Chengyuan, HUANG Jauchi, YANG Wenchie. Modeling word perception using the Elman network［J］. Neurocomputing, 2008, 71(16): 31503157.

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