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作者:

Yan, Aijun (Yan, Aijun.) (学者:严爱军) | Chai, Tianyou (Chai, Tianyou.) | Wu, Fenghua (Wu, Fenghua.) | Wang, Pu (Wang, Pu.)

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摘要:

Because of its synthetic and complex characteristics, the combustion process of the shaft ore-roasting furnace is very difficult to control stably. A hybrid intelligent control approach is developed which consists of two systems: one is a cascade fuzzy control system with a temperature soft-sensor, and the other is a ratio control system for air flow with a compensation model for heating gas flow and air-fuel ratio. This approach combined intelligent control, soft-sensing and fault diagnosis with conventional control. It can adjust both the heating gas flow and the air-fuel ratio in real time. By this way, the difficulty of online measurement of the furnace temperature is solved, the fault ratios during combustion process is decreased, the steady control of the furnace temperature is achieved, and the gas consumption is reduced. The successful application in shaft furnaces of a mineral processing plant in China indicates its effectiveness. © 2008 Editorial Board of Control Theory and Applications.

关键词:

Cascade control systems Combustion Failure analysis Fuzzy control Industrial furnaces Intelligent control Ore roasting Temperature control Temperature sensors

作者机构:

  • [ 1 ] [Yan, Aijun]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Chai, Tianyou]Research Center of Automation, Northeastern University, Shenyang Liaoning 110004, China
  • [ 3 ] [Wu, Fenghua]Research Center of Automation, Northeastern University, Shenyang Liaoning 110004, China
  • [ 4 ] [Wang, Pu]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China

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来源 :

Journal of Control Theory and Applications

ISSN: 1672-6340

年份: 2008

期: 1

卷: 6

页码: 80-85

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 4

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 3

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