Intelligent Control of Sintering Mixture Moisture Based on RBF Model of Permeability

Abstract:

The process of lead-zinc sintering presents nonlinear, time-varying and strong coupling characteristics. Sintering mixture granulation water is an important part of lead-zinc smelting.By analysis mechanism and the relativity of technology parameters, the RBF neural network model of permeability is developed. Combining with the synthesize estimation model of permeability, an intelligent control method of sintering mixture moisture based on permeability is established. The model then further optimized through intelligent search algorithm. Thereby controlling the granulation mixture moisture to improve permeability.Simulation results show the proposed model could achieve better results. It could improve the quality and yield of sintering production.

• Periodical: Applied Mechanics and Materials (Volume 437)
• Pages: 686-689
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.437.686
• Online since: October 2013
• Authors: Guo Li*, Guang Ming Zhang, Xiang Ling
• Keywords: Intelligent Control, Moisture, Permeability, RBF, Sintering

References

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