Research on the Air-Fuel Ratio Intelligent Control Method for Coke Oven Combustion Energy Saving

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Abstract:

Coke combustion process, the constant proportion of the combustion air-fuel ratio control results in low combustion efficiency and fault-prone, difficult to adapt to changes in complex working conditions. Application of intelligent technology of case-based reasoning, fuzzy control, proposed for intelligent energy saving air-fuel ratio control method. Based on current trends in working conditions and combustion process in case of failure, predict the typical faults with case-based reasoning technology to the combustion process. On this basis, through case-based reasoning algorithm realize the real-time air-fuel ratio correction. Based on fuzzy-PID temperature cascade control we can obtain the appropriate flue gas flow and flue suction and realize the stability of the combustion process to achieve optimal control.

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2873-2877

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October 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Li GongFa, Kong JianYi, Jiang GuoZhang. The research and application on the compound intelligent control system [J]. Steel, 2008, 43(8): 89-92.

DOI: 10.1109/wcica.2008.4593622

Google Scholar

[2] PRASAD V, BEQUETTE B W. Nonlinear system identification and model reduction using artificial neural networks[J]. Computer Chemical Engineering, 2003, 27(12): 1741-1754.

DOI: 10.1016/s0098-1354(03)00137-6

Google Scholar

[3] WAHEED A, ADELI H. Case-based reasoning in steel bridge engineering[J]. Knowledge-Based System, 005, 18(1): 37-46.

DOI: 10.1016/j.knosys.2004.06.001

Google Scholar

[4] He Zhi. The analysis and simulation of the combustion model of the continuous annealing furnace[J]. Metallurgical Automation, 2007, 28(2): 125-128.

Google Scholar

[5] Zhang CuiYing, Tian JianYan. The billet heating furnace temperature integrated control strategy based on the intelligent control[J]. The Journal of North University of China, 2007, 28(2): 125-128.

Google Scholar

[6] Li GongFa, Kong JianYi, Jiang GuoZhang. The research on the multivariable hybrid intelligent optimal control of the coke oven heating process[C]. The 29th Chinese Control Conference, 2010: 5017-5021.

DOI: 10.1109/ccdc.2010.5499083

Google Scholar

[7] Li GongFa, Kong JianYi, Jiang GuoZhang. The fault diagnosis system of the coke oven heating process based on the case-based reasoning and the neural network[C]. The Chinese Control and Decision Conference, 2010: 3916-3919.

DOI: 10.1109/ccdc.2010.5498445

Google Scholar