Application of Sequential Quadratic Programming Method to Temperature Distribution Control in Reactor Furnace
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概要
- 論文の詳細を見る
Recently, various studies have been undertaken to examine the inner furnace phenomena of a blast furnace. These studies are limited, however, to the evaluation of furnace performance while a designed method of furnace control remains unfulfilled. This paper proposes a method of estimating temperature distribution in a reactor furnace using boundary data in order to control inner target furnace temperature distribution. Initially, a simplified furnace simulation program for the calculation of inner furnace gas flow, pressure and temperature distribution is developed. Following that, the simulator is used to estimate and control inner furnace temperature distribution. In the estimation, boundary data such as temperature and pressure, measured near a furnace wall, are used in the furnace simulation. Then, for the control of inner furnace temperature distribution, necessary values for gas blowing at the bottom of the furnace and the burden supply at the top of the furnace are used. Both for the estimation and the control of the inner furnace temperature distribution, a sequential quadratic programming method, a method of the iterative optimization, is applied. In our method, an estimation of inner furnace temperature distribution is done as preparation for the determination of furnace control variables. Through numerical experiments, the validity of our method is demonstrated, showing that the temperature distribution in a furnace can be regulated to the desired one after iterative control operations.
- 社団法人 日本鉄鋼協会の論文
- 2005-03-15
著者
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IMAI Jun
Department of Microbiology and Immunology, Keio University School of Medicine
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Konishi Masami
Department Of Electrical And Electronic Engineering Okayama University
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Nishi Tatsushi
Department Of Electrical And Electronic Engineering Okayama University
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ISHIMARU Kazuhito
Natural Science and Technology, Okayama University
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Ishimaru Kazuhito
Natural Science And Technology Okayama University
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Imai Jun
Department Of Electrical And Electronic Engineering Okayama University
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Imai Jun
Department Of Biological Sciences Graduate School Of Science The University Of Tokyo
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KONISHI Masami
Department of Electrical and Electronic Engineering, Okayama University
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