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The Study on Temperature Optimal Control of Walking-Beam Reheating Furnace

Author: WangWeiXiao
Tutor: ShaoCheng
School: Dalian University of Technology
Course: Control Theory and Control Engineering
Keywords: Reheating furnace Furnace Temperature Optimal Setting Genetic Algorithms Feedforward control
CLC: TG307
Type: Master's thesis
Year: 2008
Downloads: 440
Quote: 5
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Billet heating furnace is a hot-rolled production line equipment, energy-hungry steel industry. The main function of the furnace is the billets heated to a temperature of rolling requirements, therefore, to carry out a step-by-step heating furnace temperature to optimize the set and control method for improving the heating efficiency of the furnace, and reduce energy consumption, so that the steel industrial energy saving is of great significance. Billet heating process with complicated industrial objects large time delay, multi-variable, strong coupling, time-varying, nonlinear, large inertia and furnace slab temperature distribution can not be measured directly, disturbance factors, the heating process is affected by a variety of production process factors. So, furnace optimal control strategy is not yet ripe, not many truly successful application. The main problems are: (1) accurate forecast is heated billet temperature distribution mathematical model there are some difficulties. (2) when the to optimize furnace temperature setting, the objective function contains many parameters, traditional optimization algorithms in real-time and accuracy problems. (3) Since the characteristics of the heating furnace having a large hysteresis, the conventional feedback control method of the furnace temperature of each segment of the furnace to adjust the speed is slower. For more than a few questions. The main research work is summarized as follows: for the heating furnace production complexity of the scene environment, the measurement device is limited, the detection data containing the interference or noise, the collected data using statistical methods of pretreatment, excluding the effects of noise, to carry out simulation and construction mold research laid the foundation. Heating furnace temperature set point optimization problems, this paper, the mechanism analysis and discrete space method of combining the furnace the billet temperature changes within the two-dimensional model. In considering the heat production targets based on the furnace the furnace segment optimization settings as well as billet furnace time the furnace temperature to optimize the objective function and use of genetic algorithms to obtain the optimal solution. The simulation results show that the genetic algorithm than other traditional optimization algorithms have significantly improved in accuracy and stability. Dynamic compensation strategy based on the deviation between the billet forecast temperature and the desired temperature PID this paper to solve the online adjustment of the heating furnace temperature setting, and adjust its strategy based on expert experience, taking into account the characteristics of the system large delay a species based on feedforward compensation Reheating Furnace dynamic control strategy simulation study to verify the effectiveness of the proposed control strategy.

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