The Application of CFD in Wood Drying Kiln System Identification

Article Preview

Abstract:

As wood drying kiln system has the nonlinear characteristics of a large lag, multivariable, large inertia and strong coupling. It is difficult to establish an accurate mathematical model of the wood drying kiln system by using traditional mathematical Modeling method. The data of wood drying kiln is drawn by CFD-Fluent, and the translate function of the control system is obtained by Matlab system identification. The simulation results show that the method has good accuracy, and can meet the control requirements of the system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

386-389

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Qinlong Meng, Yuan Wang, Xiuying Yan , Parameter estimation method of water temperature control system in hot and cold water mixer, Xi'an Jiaotong University NO. 11, 2008(11), pp.1398-1401(in Chinese).

Google Scholar

[2] Qinlong Meng, Yanling Guan , Ansheng Xie , System identification method based on CFD, vol. 38, pp.1054-1058(in Chinese).

Google Scholar

[3] Biguang Zhang, Yongqun Xie, The domestic and the international situation of the development trend in wood drying. [J]. 2006(4), pp.7-14, pp.7-14(in Chinese).

Google Scholar

[4] Biguang Zhang, Drying technology trends in China from the dried dynamic of international, Forest Products industry, 2000, 27(3): 7-10(in Chinese).

Google Scholar

[5] Yihua Xiao, Tracking the international development frontier prosperity timber drying analysis, Forest products industrial Digest abroad, 2002(2), pp.11-13(in Chinese).

Google Scholar

[6] Zhengxian Zhu, Retrospect and Prospect of wood drying in China for century, Forest Products industry, 2000, 27(2): 3-6, pp.7-10(in Chinese).

Google Scholar

[7] Haibing Xie, Daimo Zhang, Lincheng Shen, Co-simulation method based on MATLAB/ SIMULINK and FLUENT study[J], Journal of System Simulation, 2007, 08, pp.1824-1827+1856(in Chinese).

Google Scholar

[8] Congzhi Fang, Deyun Xiao, Process identification[M], Beijing: Tsinghua University press, 2001(in Chinese).

Google Scholar