Research on Cooling Control System of Flue Gas Based on Fuzzy Control

Article Preview

Abstract:

High-temperature flue gas in the factory has three features: high flow, strong corrosive and high temperature. It must be cooled to the rated temperature of different working conditions. There are nonlinear, time-varying issues and difficult to establish accurate mathematical model in the control of pump water quantity. We put PLC as the core to design the cooling control system which adjusts the pump water quantity by frequency changer based on fuzzy control theory.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

497-500

Citation:

Online since:

August 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Zhang Qing, Cheng Weiming, Shen Yaozong, etc. Fuzzy temperature control for microwave vulcanization, J. Optics and Precision Engineering, 2001, 9(4): 385-387.

Google Scholar

[2] Zhao Yan, Zhang Chunjing. Study of windscreen wiper system of automobile based on fuzzy PID controller, J. Manufacturing Automation, 2010, 32(2): 179-180, 188.

Google Scholar

[3] Huang Heng, Cao Jinghua. Automatic control system for purifying fume of aluminum smelters, J. Shanghai Nonferrous Metals, 2008, 29(4): 176-179.

Google Scholar

[4] Liao Changchu. PLC Programming and Application. Beijing: China Machine Press, (2002).

Google Scholar

[5] Jia Yongfeng, Gu Lichen. Design of monitors & control about tower crane based on host computer [J]. Construction Machinery, 2009, 19(5): 91-94.

Google Scholar

[6] Jiang Zhifang, Wang Xiaojun, Fei Shenggang, ect. Design and Implementation of Clinker Cooler Water Spraying Control System, J. Instrument Technique and Sensor, 2011, 38(12): 61-63.

Google Scholar

[7] Zhou Tianpei. Air damper opening degree controlling for ejecting smoke in the gas cleaning control systems base on PLC, J. Manufacturing Automation, 2010, 32(2): 172-174.

Google Scholar

[8] Zhu Jing. Fuzzy Control Principle and Application. Beijing: China Machine Press, (1995).

Google Scholar

[9] Wang Xiaocheng, Fang Qiang. Study of fuzzy_control based on programmable controller, J. Engineering Journal of Wuhan University, 2002, 35(3): 79-81, 112.

Google Scholar

[10] Jin Zhaorong, Xu Minjie, Wei Xueliang, etc. Study and design of spraying irrigation automatic controller based on fuzzy decision, J. Drainage and Irrigation Machinery, 2004, 22(5): 26-28.

Google Scholar