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Author Jinghui Qiao ♦ Tianyou Chai ♦ Hong Wang
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Calcination ♦ Boundary conditions ♦ Process control ♦ Temperature measurement ♦ Mathematical model ♦ Feedforward neural networks
Abstract In raw meal calcination process, the target value of decomposition ratio of raw meal (RMDR) is different in easy calcination stage and difficult calcination stage because boundary conditions of raw meal change frequently, where RMDR cannot be guaranteed within its desirable ranges. To solve this problem, an intelligent setting control method is proposed. This method for raw meal calcination process consists of five modules, namely a RMDR target value setting model using subtraction clustering method (SCM) and adaptive-network-based fuzzy inference system containing categorical input (C-ANFIS), a control loop pre-setting model, a feedback compensation model based on fuzzy rules, a feedforward compensation model based on fuzzy rules, and a soft measurement model for RMDR. The proposed method is realized by on-line adjusting the setpoints of control loops with the change of raw meal boundary conditions. This method has been successfully applied to the raw meal calcination process of Jiuganghongda Cement Plant in China and its efficiency has been validated by the practical application results.
Description Author affiliation: State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110004, China (Jinghui Qiao; Tianyou Chai) || School of Electrical and Electronic Engineering, University of Manchester, U.K. (Hong Wang)
ISBN 9781612848006
ISSN 07431546
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-12-12
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781612848013
Size (in Bytes) 643.71 kB
Page Count 6
Starting Page 7659
Ending Page 7664

Source: IEEE Xplore Digital Library