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铁道科学与工程学报

JOURNAL OF RAILWAY SCIENCE AND ENGINEERING

Vol. 16    No. 4    August 2006

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Intelligent optimal control for lead-zinc sintering process state
WU Min(吴 敏), XU Chen-hua(徐辰华), DU Yu-xiao(杜玉晓)

School of Information Science and Engineering, Central South University,
Changsha, 410083, China

Abstract: The intelligent integrated predictive model of synthetical permeability was established using the fuzzy classifier to combine the time sequence predictive model with the craftwork parameter predictive model. Then, the estimation model of burn-through point(BTP) based on pipe stress point(PSP) method and the predictive model of BTP were proposed. The optimal control of permeability and heat states was implemented by using the fuzzy expert controller with self-studying mechanism. The application of the intelligent control technique suppresses 17% of the fluctuation of synthetical permeability and 12% of the fluctuation of BTP, stabilizes the output and quality of sinter and settles the basis for the optimization of output and quality of sintering process.

 

Key words: lead-zinc sintering process; synthetical permeability; burn-through point(BTP); fuzzy expert controller; state- optimization control

ISSN 1672-7029
CN 43-1423/U

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