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Optimization Control of Reheating Process in Rotary Reheating Furnace

Author: DingGuiBao
Tutor: CuiGuiMei
School: Inner Mongolia University of Science and Technology
Course: Control Theory and Control Engineering
Keywords: temperature optimization of rotary reheating furnace billet temperaturemodeling based on RBF neural network modified particle swarmoptimization finite element analysis of ANSYS
CLC: TG307
Type: Master's thesis
Year: 2011
Downloads: 92
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Abstract


The main task of the rotary reheating furnace is to provide the qualified billets inheating quality for the rolling process, which meet the requirements of rollingtechnology. As the key link and high energy consumption equipment in hot rollingproduction line of seamless steel tube plant, its control level can directly affect thequality of steel tube, productions, cost of the whole system, and so on. The rotaryreheating furnace is a complex industrial process controlled object. There are a lot ofexternal disturbance factors, and it can’t directly and accurately real-time measures thebillet temperature distribution in heating process. Because the traditional controlstrategy is hard to adapt to the complex and changeable thermal condition of the heatingfurnace, it can only rely on operators with experience to set the temperature of eachcontrol zone in order to control the billet temperature in the furnace. Such method oftenmakes the control accuracy decline and energy consumption increased. In order toimprove the control level of the furnace, all kinds of optimization control method comeabout at serial, but such models need to create a lot of approximation and assumptions,and the precision of models are not enough, also it is difficult to improve the controlperformance. In order to overcome the existing problems, optimization control methodof the rotary reheating furnace based on modified PSO is presented. Establishtemperature prediction model of the round billet and search the optimal temperaturesettings. It can reduce billet temperature deviation at the exit, difference of temperaturein cross section and energy consumption.It introduces the rotary reheating furnace configuration, characteristics of thetechnological process and control requirements. It summaries the control project of thefurnace and analyzes the process control system of the rotary reheating furnace. As tothe existent problems, the following aspects were studied in this paper.First, for the problem that temperature of the round billet are known, temperatureprediction model of the round billet surface at the exit based on RBF neural network areestablished. The simulation result shows the error of the model is less than20℃, whichmeets the requirements of the heating process.Second, the objective function constituted by the minimum value of temperaturedeviation of billet surface at the exit and energy consumption in this paper. It adopts amodified PSO algorithm to search the optimal temperature settings. It can solve the blindness and randomness of temperature settings. It adopts mutation strategy toimprove premature convergence problem resulting from population degradation and thesearch precision.Third, simulate billet temperature field through the finite element software ofANSYS in this paper. Simulation results show that optimized energy consumptiondecline, and difference of temperature in cross section decrease. It verifies theeffectiveness of the optimization.

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CLC: > Industrial Technology > Metallurgy and Metal Craft > Metal pressure processing > General issues > Heating and heating equipment
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