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The Study on Optimal Control of Reheating Furnace and Simulation System

Author: WuJiangJin
Tutor: ShaoCheng
School: Dalian University of Technology
Course: Detection Technology and Automation
Keywords: Reheating furnace Furnace Temperature Optimal Setting Genetic Algorithms Simulation Platform
CLC: TP391.9
Type: Master's thesis
Year: 2006
Downloads: 612
Quote: 4
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Billet heating furnace is an important device for the hot rolling line , and its main function is the billet was heated to a temperature in conformity with the requirements of rolling , the heating furnace is also a hot rolling production line, the major energy-consuming equipment , its energy saving control method the research has been a hotspot in the field of metallurgy automation . Currently, there are still some problems in the optimal control of the furnace . First, since online measurement of the billet in the furnace temperature distribution can not be in the actual production process , it is necessary to establish able to accurately forecast to be heated with the mathematical model of the billet temperature distribution . The slab temperature modeling one of the more effective methods is based on the thermal switch management projections billet heating mathematical model commonly used in engineering applications simplify the conditions under the one-dimensional unsteady heat conduction model , but the model calculation accuracy is not high . Second, optimize the distribution of computing Reheating Furnace , select consider the optimization index is not comprehensive enough. Optimize furnace process control research , lack of a simulated furnace process simulation environment . To do the following research work for the existing problems . First, the heat transfer mechanism of the billet heating process analysis, combined with the actual situation of the project to establish a billet temperature prediction model of two - dimensional state space , the model not only guarantee the calculation accuracy of both computing speed , optimized for Reheating Furnace control model basis . Secondly, this article contains the furnace the furnace segment temperature settings and billet furnace temperature in the furnace time process indicators to optimize the objective function in the the calculated objective optimization parameters , taking into account the complexity of the objective function , this paper uses a genetic optimization The algorithm obtained objective optimization parameters . For heating furnace temperature setpoint line adjustment problem , we propose a PID dynamic compensation strategy based on the deviation between the billet forecast temperature and the desired temperature . Finally, we designed a furnace process control of the overall structure of the simulation platform , and the development of a process model station platform and simulation analysis station analog screen module , function modules the model library modules as well as the main module of the simulation run . The platform to optimize the furnace control studies provide a good simulation environment .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Computer simulation
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