Journal of South China University of Technology (Natural Science Edition) ›› 2006, Vol. 34 ›› Issue (1): 52-56.

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Soft-Sensing Model of Chaos Time Series of Crude Copper Composition in Copper Convertor and Its Application

E Jia-qiang  Wang Yao-nan Gong Jin-ke  Li Chun-sheng  Mei Chi   

  1. 1.College of Electrical and Informational Engineering,Hunan Univ.,Changsha 410082,Hunan,China;2.College of Mechanical and Automotive Engineering,Hunan Univ.,Changsha 410082,Hunan,China;3.School of Energy and Power Engineering.Central South Univ.,Changsha 410083,Hunan,China
  • Received:2005-04-06 Online:2006-01-25 Published:2006-01-25
  • Contact: 鄂加强(1972-)，男，博士后，主要从事智能信息融合处理方法及其应用方面的研究 E-mail:ejiaqiang@126.com
  • About author:鄂加强(1972-)，男，博士后，主要从事智能信息融合处理方法及其应用方面的研究
  • Supported by:

    国家自然科学基金资助项目(60375001)

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Abstract:

A new soft-sensing model of current crude copper composition based on the chaos time series of foregone crude copper composition was established by using the phase-space reconstruction theory and the method of maxi-mum Lyapunov exponent and by updating samples in time.In this soft-sensing model,foregoing assay data of crude copper composition were regarded as the secondary variables,the assay data of crude copper composition in curent copper convertor were taken as the primary variables because of its great delay,and the chaos time series of fore-gone crude copper composition was divided into two sub-series via the time lag τ=2 furnace orders.Experimental results indicate that the crude copper composition in curent copper convertor can be quickly and precisely deter-mined by the proposed soft-sensing model.

Key words: copper convertor, composition measurement, chaos time series, Lyapunov exponent, soft sensing, phase-reconstruction theory