NDLI: State Optimization for Lead-Zinc Sintering Process Based on Intelligent Integrated Methodology

Content Provider	IEEE Xplore Digital Library
Author	Chenhua Xu Min Wu Jinhua She
Copyright Year	2006
Description	Author affiliation: Sch. of Inf. Sci. & Eng., Central South Univ., Hunan (Chenhua Xu; Min Wu)
Abstract	This paper describes an intelligent integrated state optimization technique for the lead-zinc imperial smelting process, which features strong nonlinearity, strong coupling, a large time delay, time-varying parameters, and multiple constraints. First, the concept of the exponent of synthetic permeability (ESP) is explained. It reflects the permeability state of the process. Next, predictive models of ESP based on time-sequence and technological parameters are established using neural networks, and an intelligent integrated predictive model of the ESP is constructed by combining these two models with a fuzzy classifier. Then, a fuzzy expert predictor is built to predict the location of the burn-through point. Finally, the optimization of the permeability and heat states is implemented using a fuzzy expert controller with a self-study mechanism for those models. Actual runs show this method to be efficient and practical
Starting Page	1861
Ending Page	1865
File Size	148179
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1712677
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization methods Permeability Electrostatic precipitators Predictive models Constraint optimization Smelting Couplings Delay effects Neural networks Intelligent networks fuzzy expert controller Lead-zinc sintering process synthetic permeability burn-through point (BTP) pipe stress point (PSP) method
Content Type	Text
Resource Type	Article

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