Dissertation > Excellent graduate degree dissertation topics show

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
Read: Download Dissertation

Abstract


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 .

Related Dissertations

  1. Development of the on-line Training and Examination System of Army,TP311.52
  2. Designs and Applications of Fuzzy Synthetic Evaluation Models Based on Parallel Algorithms,TP18
  3. Optimal Control of Emulsion System in Cold Rolling,TP273
  4. Research on the Marshalling-scheduling Model and Algorithms of Freight Trains Based on Game Theory,O225
  5. Simulation System for Aluminum Foil Cold Mill and Research of Tension Control,TG334.9
  6. Multi-directional Mutation Genetic Algorithm and Research on Neural Network Optimization,TP18
  7. The Application of Using Genetic Algorithms on Universities Course-arranging System,TP18
  8. Research on Mobile Robot Path Planning and Simulation Realization,TP242
  9. Research on Routing Algorithmin Sensor Networks Based on Cluster with Mobile Sink,TP212.9
  10. Research and Implement of the Theme Crawler for Automotive Industry,TP391.3
  11. The Research and Implement on Camera Calibration Technology Based on Trifocal Tensor,TP391.41
  12. Decision Support System of Vehicle Scheduling in Double Level Garage,TP242
  13. The Studies on Some Improvements of the GA and Their Applications in SVM,TP18
  14. A Reduction Method for Artificial Neural Network Inputs Based on An Improved Genetic Algorithm,TP18
  15. Optimal Riser Design of Steel Casting Based on CAE Analysis,TG260
  16. In-furnace Temperature Information Included Combustion Optimization of a Utility Boiler,TK227.1
  17. Design of High-efficiency Thermophotovoltaic System,TM914.4
  18. Research and Implementation of Downlink Simulation Platform Based on the LTE Protocol,TN929.5
  19. A Novel Multiport Matching Network Model of an Indoor MIMO System,TN919.3
  20. RSSI-GA-Base Static Node and Improved MCL-Base Mobile Node Localization Algorithm for Wireless Sensor Networks,TN929.5
  21. Research of Fuzzing Based on Genetic Algorithm,TP311.53

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Computer simulation
© 2012 www.DissertationTopic.Net  Mobile