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燃烧过程空燃比的智能控制方法

Keywords: 竖炉,燃烧过程,案例推理,神经网络,故障预报,空燃比

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Abstract:

矿石焙烧竖炉燃烧过程空燃比采用定比例控制导致燃烧效率低下并且故障频发,难以适应复杂工况的变化.应用案例推理、神经网络等智能技术,提出了空燃比的智能控制方法.根据当前工况的变化趋势及燃烧过程的故障案例,采用案例推理技术对燃烧过程中的典型故障进行预报,在此基础上,通过神经网络算法实现了空燃比的在线校正.将该方法应用于竖炉焙烧燃烧过程的生产实际中,提高了燃烧温度的控制精度,降低了能耗,且故障发生率明显降低.

References

[1]  柴天佑,谢书明,杜斌,等.基于RBF神经网络的转炉炼钢终点预报[J].中国有色金属学报.1999,9(4):868-872.CHAI Tian-you,XIE Shu-ruing,DU Bin.et al.Endpoint prediction of basic oxygen furnace steelmaking based on RBF neural network[J],The Chinese Joumal of Nonferrous Metals,1999,9(4):868-872.(in Chinese)
[2]  YE N,PARMAR D,BORROR C M.A hybrid SPC method with the chi-square distance monitoring procedure for large- scale,complex process data[J].Quali Reliabi Eng Int.2006,22(4):393-402.
[3]  严爱军,丁进良,柴天佑.竖炉焙烧过程综合自动化系统[J].控制工程,2006。13(2):120.122.YAN Ai-jun,DING Jin-liang,CHAI Tian-you.Integrated automation system for shaft furnace roasting process[J].Control Engineering of China,2006,13(2):120-122.(in Chinese)
[4]  PRASAD V,BEQUETTE B W.Nonlinear system identification and model reduction using artificial neural networks[J]. Comput Chem Eng,2003,27(12):1741-1754.
[5]  WAHEED A,ADELI H.Case-based reasoning in steel bridge engineering[J].Knowledge-Based Syst,2005,18(1):37-46.
[6]  GNANAM G,HABIBI S R,BURTON R T,et al.Neural network control of air-to-fuel ratio in a bi-fuel engine[J].IEEE Trans Syst,Man Cybern C,2006,36(5):656-667.
[7]  严爱军,柴天佑.岳恒.竖炉焙烧过程的多变量智能优化控制[J].自动化学报,2006,32(4):636-640.YAN Ai-jun,CHAI Tian-you,YUE Heng.Multivariabh intelligent optimizing control approach for shaft furnace masting process[J].Acta Automatica Sinica,2006,32(4):636-640.(in Chinese)
[8]  LIN D T.Facial expression classification using PCA and hierarchical radial basis function network[J].J Infor Scie Eng.2006.22(5):1033-1046.
[9]  严爱军.柴天佑.磁选管回收率智能混合预报方法[J].信息与控制,2005,34(6):759-764.YAN Ai-jun,CHAI Tian-you.Intelligent hybrid prediction method of magnetic tube recovery rate[J].Inf Control,2005.34(6):759-764.(in Chinese)
[10]  谭明皓.柴天佑.基于案例推理的层流冷却过程建模方法研究[J].控制理论与应用,2005,22(2):248-253.TAN Ming-hao,CHAI Tian-you.Modeling of the laminar cooling process with case-based reasoning[J].Control Theory & Applications.2005,22(2):248-253.(in Chinese)
[11]  HSUAN C A,CHEN R.Intelligent control of exit temperature in a gas-fuel can-type combustor[J].Eng Appl Artif Intell, 2002,15(5):391-400.
[12]  LEE S G,NGY C.Hybrid case-based reasoning for on-line product fault diagnosis[J].Int J Advanced Manu Technol, 2006,27(7/8):833-840.

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