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Author:

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

Indexed by:

EI Scopus

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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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Source :

Journal of Control Theory and Applications

ISSN: 1672-6340

Year: 2008

Issue: 1

Volume: 6

Page: 80-85

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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