全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

电熔镁砂产品单吨能耗混合预报模型

DOI: 10.3724/SP.J.1004.2013.02002, PP. 2002-2011

Keywords: 电熔镁砂,单吨能耗,预报模型,能量守恒,神经网络

Full-Text   Cite this paper   Add to My Lib

Abstract:

?产品的单吨能耗是反映电熔镁砂熔炼过程产品产量和能耗的综合生产指标.通过分析炉内电热转换关系,利用能量守恒原理建立了产品单吨能耗模型.针对模型的未知非线性和参数时变等综合复杂性提出了由基于机理分析的单吨能耗主模型和基于神经网络的补偿模型组成的产品单吨能耗混合预报模型.其中神经网络补偿模型用于补偿模型的未知非线性和参数不确定性对于预报模型准确性的影响.采用某电熔镁砂熔炼过程实测数据验证了所建立的混合预报模型是有效的.

References

[1]  Zhang X, Xue D F, Xu D L, Feng X Q, Wang J Y. Growth of large MgO single crystals by an arc-fusion method. Journal of Crystal Growth, 2005, 280(1-2): 234-238
[2]  Guo Mao-Xian. Industry Furnace. Beijing: Metallurgical Industry Press, 2002 (郭茂先. 工业电炉. 北京: 冶金工业出版社, 2002)
[3]  Qi Guo-Chao, Zhang Wei-Jun, Tong Yong-Juan, Li Jun, Cui Jun-Feng. Geometry size optimizing of fused magnesia arc furnace. Energy for Metallurgical Industry, 2010, 29(4): 34-36, 47(齐国超, 张卫军, 仝永娟, 李军, 崔俊峰. 电熔镁电弧炉炉体优化设计. 冶金能源, 2010, 29(4): 34-36, 47)
[4]  Wang Y, Mao Z Z, Li Y, Tian H X, Feng L F. Modeling and parameter identification of an electric arc for the arc furnace. In: Proceedings of the 2008 IEEE International Conference on Automation and Logistics. Qingdao, China: IEEE, 2008. 740-743
[5]  Makram E B, Zheng T, Girgis A A. Effect of different arc furnace models on voltage distortion. In: Proceedings of the 8th International Conference on Harmonics and Quality of Power. Athens: IEEE, 1998, 2: 1079-1085
[6]  Song Q. On the weight convergence of Elman networks. IEEE Transactions on Neural Networks, 2010, 21(3): 463-480
[7]  Guo C Y, Song Q, Cai W J. A neural network assisted caSCAde control system for air handling unit. IEEE Transactions on Industrial Electronics, 2007, 54(1): 620-628
[8]  Shi Xiao-Hu, Liang Yan-Chun, Xu Xu. An improved Elman model and recurrent back-propagation control neural networks. Journal of Software, 2003, 14(6): 1110-1119(时小虎, 梁艳春, 徐旭. 改进的Elman模型与递归反传控制神经网络. 软件学报, 2003, 14(6): 1110-1119)
[9]  Shi Fu, Wang Peng, Sun Zhen-Bin. Control and Operating of Submerged Arc Furnace. Beijing: Metallurgical Industry Press, 2010 (石富, 王鹏, 孙振斌. 矿热炉控制与操作. 北京: 冶金工业出版社, 2010)
[10]  Zhang X, Xue D F, Wang J Y, Feng X Q. Improved growth technology of large MgO single crystals. Journal of Crystal Growth, 2006, 292(2): 505-509
[11]  Tong Yong-Juan, Zhang Wei-Jun, Li Peng, Wang Shuai, Zhao Wen-Jing, Yu Hong-Chao. Thermal process analysis and energy conservation of fused magnesia production. Energy for Metallurgical Industry, 2011, 30(3): 28-30(仝永娟, 张卫军, 李鹏, 王帅, 赵文婧, 于宏超. 电熔镁砂生产的热工过程分析与节能. 冶金能源, 2011, 30(3): 28-30)
[12]  Wang Yan, Mao Zhi-Zhong, Li Yan, Tian Hui-Xin, Shi Ai-Ping. Study on modeling and coupling simulation of power supply system for AC electric arc furnace. Journal of System Simulation, 2010, 22(4): 841-844(王琰, 毛志忠, 李妍, 田慧欣, 石爱平. 交流电弧炉供电系统建模及耦合关系仿真研究. 系统仿真学报, 2010, 22(4): 841-844)
[13]  Zheng T X, Makram E B. An adaptive arc furnace model. IEEE Transactions on Power Delivery, 2000, 15(3): 931-939
[14]  Tseng K J, Wang Y M, Vilathgamuwa D M. An experimentally verified hybrid Cassie-Mayr electric arc model for power electronics simulations. IEEE Transactions on Power Electronics, 1997, 12(3): 429-436
[15]  Liou C Y, Huang J C, Yang W C. Modeling word perception using the Elman network. Neurocomputing, 2008, 71(16-18): 3150-3157
[16]  Shi Xiao-Hu. Some Theoretical Studies of Elman Neural Networks and Evolutionary Algorithms and Their Applications[Ph.D. dissertation], Jilin University, China, 2006(时小虎. Elman神经网络与进化算法的若干理论研究及应用[博士学位论文], 吉林大学, 中国, 2006)
[17]  Li Jian-Chuan,  Qin Guo-Jun,  Wen Xi-Sen,  Hu Niao-Qing. Over-fitting in neural network learning algorithms and its solving strategies. Journal of Vibration Measurement and Diagnosis, 2002, 22(4): 260-264(李俭船, 秦国军, 温熙森, 胡茑庆. 神经网络学习算法的过拟合问题及解决办法. 振动、测试与诊断, 2002, 22(4): 260-264)
[18]  Wu Z W, Chai T Y, Fu J, Sun J. Hybrid intelligent optimal control of fused magnesium furnaces. In: Proceedings of the 49th IEEE Conference on Decision and Control. Atlanta, GA: IEEE, 2010. 3313-3318

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133