Research on Temperature Control System with a Scaling Factor for Iron Ore Reduction Measuration

Abstract:

This paper presents the principle of iron ore reduction measuration system. According to characteristics of temperature developing in experimental, the proper control rules are adopted in different temperature ranges and the self-optimizing algorithm is used in controller design. A new fuzzy controller with self-tuning factor for temperature control system can replace the traditional instrument control device and achieve precise temperature control. The result of experimentation shows that the control system has satisfactory performance with better reliability and efficacy. This method adopted in controller is practical and worthy for reference.

• Periodical: Advanced Materials Research (Volumes 542-543)
• Pages: 143-146
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.542-543.143
• Online since: June 2012
• Authors: Dong Xie, Jin Liang Shi, Qun Wei Yu
• Keywords: Fuzzy Control, Iron Ore, Self-Optimization, Temperature Control

References

[1] Y.S. Huang, K.B. Dong, X. Chen: Computer Measurement & Control. Vol.15(2007), pp.896-898

[2] G.H. Gong, Y. Huo, Y.B. Zhu: Metal Mine. Vol. 11(2008), pp.55-57 (In Chinese)

[3] H.X. WEN: Physics Examination and Testing. Vol. 05 (2003), pp.40-41 (In Chinese)

[4] X.J. ZHANG: Instrument Technique and Sensor. Vol. 11 (2011), pp.76-78 (In Chinese)

[5] H.X. ZHANG, Y. XIAO: Industrial Safety and Environmental Protection. Vol. 3(2011), pp.27-29

[6] X.C. WEN, Z.Y. HAN: FOUNDRY TECHNOLOGY, Vol. 32(2011), pp.369-372 (In Chinese)