Dissertation > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system > Computer control, computer control system

Reheating furnace combustion process intelligent control strategy and its application

Author ChenJun
Tutor WuMin;NieQiuPing
School Central South University
Course Software Engineering
Keywords walking beam reheating furnace combustion control fuzzy expert control neural network intelligent control
CLC TP273.5
Type Master's thesis
Year 2004
Downloads 349
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In order to solve the problems efficiently in the combustion process of reheating furnace such as the high consumption of energy, the big fluctuation of billet temperature, the poor delicacy of the temperature control, etc., the paper proposes an intelligent control strategy of the combustion process of reheating furnace, including the fuzzy expert control strategy based on the valve value, air gas ratio automatic optimal strategy based on the fuzzy expert rules, according to the technical characteristics of walking beam reheating furnace. The intelligent optimal control system is also established in this paper.The fuzzy expert control strategy based on the valve value in the paper obtains the flux from the temperature warp, the warp ratio and the air-gas ratio. The valve value achieved from the model of the relation between flux and valve value. It settles the problems of slow-reaction and big overshoot in PID control and traditional fuzzy control, so as to guarantee the control to satisfy the demand of the practical produce.Meanwhile, the paper has proposed the air gas ratio optimal strategy for the thermal value fluctuation of the gas, has established the prediction model of billet temperature for the furnace temperature optimization with the ameliorated BP neural network model, and has adopted the penalty function method to realize the temperature optimization enactment for the model of furnace temperature distribution.The paper adopts the OPC system embedding technique to realize the information exchange between the intelligent control algorithm and CS1000 distributed control system, and establishes the burning process intelligent control system of walking beam reheating furnace so as to have collective scrutiny and real-time control on the station parameters.The practical operation result in the industry offers the evidence that the burning process intelligent control system of reheating furnace can assure the delicacy of the furnace temperature control. The control system increases the speed of temperature adjustment and reduces the energy consume, electricity consumption and the billet combustion loss. As a result, it elevates the productive capacity of reheating furnace, fulfills the collective scrutiny in the operation process of reheating furnace, and has the prominent economic and social benefits.

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