Advertisement

Multi-objective Systematic Optimization of FKNME

  • Xiaoqi Peng
  • Yanpo Song
  • Zhuo Chen
  • Junfeng Yao
Chapter
  • 783 Downloads

Abstract

As most engineers may agree, it is not very difficult to improve the performance of an operating furnace or kiln by some means. The difficulties lie in finding the most effective strategy to optimize the system with a well-developed practical approach and bringing the ideas into practice. There fore, theoretically sound methodologies supported by necessary analyzing tools are needed. In this chapter, the optimization methodology and the objective functions are discussed for the FKNME optimization.

Keywords

Optimal Control Problem Target Function Fuzzy Neural Network Molten Slag Adaptive Control System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chang Chunxin (1982) Conspectus of Modern Control Theory (in Chinese). China Machine Press, BeijingGoogle Scholar
  2. Computational Mathematics Group, Department of Mathematics, Nanjing University (1978) Optimization Methods (in Chinese). Science Press, BeijingGoogle Scholar
  3. Feng Chunbo (1986) Adaptive Control (in Chinese). Electronic Industry Press, BeijingGoogle Scholar
  4. Gao Rong (1991) General Optimization Design (in Chinese). China Coal Industry Publishing House, BeijingGoogle Scholar
  5. Gong Xifang (1979) Computational Methods of Optimization Control (in Chinese). Science Press, BeijingGoogle Scholar
  6. Hetsroni G (1997) Handbook of Multi-phase Flow and Heat Transfer (in Chinese). Metallurgical Industry Press, BeijingGoogle Scholar
  7. Hu Shouren (1993) Application Technology of Neural Network (in Chinese). National University of Defense Technology Press, ChangshaGoogle Scholar
  8. Hu Yuda (1990) Practical Multi-targets Optimization (in Chinese). Shanghai Science Press, ShanghaiGoogle Scholar
  9. Katsuhiko Ogata (1980) Modern Control Engineering (in Chinese). Science Press, BeijingGoogle Scholar
  10. Kunii D, Levenspied O (1969) Fluidization Engineering. Wiley, New York.Google Scholar
  11. Landau I D (1985) Adaptive Control: Model Reference Method. Translated by Wu Baifan. National Defence Industry Press, BeijingGoogle Scholar
  12. Li Youshan (1993) Fuzzy Control Theory and its Application in Process Control (in Chinese). National Defence Industry Press, BeijingGoogle Scholar
  13. Liu Honglin, Bao Hong (1999) Artificial Intelligent Optimization in Chemical Metallurgical Process (in Chinese). Metallurgical Industry Press, BeijingGoogle Scholar
  14. Liu Weixin (1994) Optimization of Mechanical Design (in Chinese). Tsinghua University Press, BeijingGoogle Scholar
  15. Mei Chi (1987) Principle of Transport Processes in Metallurgy (in Chinese). Metallurgical Industry Press, BeijingGoogle Scholar
  16. Mei Chi (2000) Handbook of Nonferrous Metallurgical Furnaces Design (in Chinese). Metallurgical Industry Press, BeijingGoogle Scholar
  17. Mei Chi, Peng Xiaoqi, Zhou Jiemin (1994) Fuzzy and adaptive control model for process in Nickel matte smelting furnace. Trans. of Nonferrous Metals Society of China; 4(3): 9–11Google Scholar
  18. Mei Chi, Wang Qianpu, Peng Xiaoqi et al (1996) Simulation and optimization of nonferrous metallurgical furnaces (in Chinese). Transactions of Nonferrous Metals Society of China, 6(4): 19~23Google Scholar
  19. Oeters F (1994) Metallurgy of Steelmaking. Germany: Verlag Stableisen GmbhGoogle Scholar
  20. Peng Xiaoqi (1998) The development and application of the intelligent decision technique for economizing electric energy and reducing consumption in nickel smelting and the integrated computer information network in smelting workshop (in Chinese), thesis(Ph.D). Central South University of Technology, ChangshaGoogle Scholar
  21. Peng Xiaoqi, Mei Chi (1996) An intelligent decision support system in the operation process of electric furnace for cleaning slag. Journal of Central South University of Technology, 3(2)Google Scholar
  22. Peng Xiaoqi, Mei Chi, Zhou Jiemin (1994) An intelligent decision support system (IDSS) on the process of nickel matte smelter (in Chinese). Journal of Central South Institute of Mining and Metallurgy, 25(4): 526~529Google Scholar
  23. Peng Xiaoqi, Mei Chi, Zhou Jiemin et al., (1994) An identification method of multivariable fuzzy control model and its application in the decision support system of smelting furnace (in Chinese). Control Theory & Application, 11(5): 582~587Google Scholar
  24. Peng Xiaoqi, Mei Chi, Zhou Jiemin et al (1995) A fuzzy neural networks control model of multivariable systems and its application (in Chinese). Control Theory & Application, 12(9): 351~357Google Scholar
  25. Qin Shoukang et al (1980) Optimization Control (in Chinese). National Defense Industry Press, BeijingGoogle Scholar
  26. Wang Yu, Dai Ruwei (1990) A method to build an expert system with artifical neural network (in Chinese). Chinese Journal of Computers, 13(5):391~396Google Scholar
  27. Xiao Xingguo, Xie Yunguo (1997) Metallurgical Reaction Engineering foundation (in Chinese). Metallurgical Industry Press, BeijingGoogle Scholar
  28. Zhao Zhenyu (1996) Groundwork and Application of Fuzzy Theory and Neural Network (in Chinese). Tsinghua University Press, BeijingGoogle Scholar

Copyright information

© Metallurgical Industry Press, Beijing and Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Xiaoqi Peng
    • 1
  • Yanpo Song
    • 1
  • Zhuo Chen
    • 1
  • Junfeng Yao
    • 2
  1. 1.Central South UniversityChina
  2. 2.Xiamen UniversityChina

Personalised recommendations