quotation:		[Copy]
		Lusheng Ge.[en_title][J].Control Theory and Technology,2004,2(2):205~207.[Copy]

This Paper:Browse 653 Download 152	码上扫一扫！

LushengGe
0 Fontlarge +\|Default\|Small
()

摘要:

关键词:

DOI：

Received:May 15, 2002Revised:January 12, 2004

基金项目:

Application study of complex control algorithm for regenerative furnace temperature

Lusheng Ge

(School of Electric Engineering & Information, Anhui University of Technology, 243002 Ma ’ anshan Anhui, China)

Abstract:

Alternative switch combustion mode of air and gas is adopted on the two sides of the regenerative furnace, its temperature is in uncontrolled state in the switching process and the switch period is generally 3 ～ 5 min. Thus, the conventional bi-cross limited combustion control method is no longer applicable to the object. This paper makes use of neutral network algorithm to adjust the static operating point. On this basis, fuzzy control strategy is used for the furnace temperature control. The actual application result shows that the control strategy is effective to solve the problem of the combustion control for regenerative furnace.

Key words: Regenerative furnace Bi-cross limitation control Neural network