Intelligent integrated optimization and control system for lead-zinc sintering process

Min Wu, Chen Hua Xu, Jin Hua She, Ryuichi Yokoyama

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

The lead-zinc sintering process (LZSP) is an important step in imperial smelting. This paper presents an intelligent integrated optimization and control system (IIOCS) for the LZSP. The optimization and control scheme has a hierarchical configuration. First, the requirements of process control and the configuration of the IIOCS are described. Then, models for predicting quantity and quality (Q&Q) are established using correlation and mechanism analysis, and are implemented by improved back-propagation neural networks. Based on the models, an integrated algorithm combining c-means clustering, genetic, and chaos approaches is employed to optimize the operating parameters of the process. Finally, the control of the process state is carried out by a distributed control system to control the Q&Q of the product.

Original languageEnglish
Pages (from-to)280-290
Number of pages11
JournalControl Engineering Practice
Volume17
Issue number2
DOIs
Publication statusPublished - 2009 Feb

Fingerprint

Sintering
Zinc
Lead
Control System
Control systems
Optimization
Distributed parameter control systems
Smelting
Distributed Control System
Backpropagation
Chaos theory
Configuration
Process control
Back-propagation Neural Network
Process Control
Neural networks
Chaos
Optimise
Clustering
Requirements

Keywords

  • Hierarchical configuration
  • Intelligent integrated control
  • Intelligent integrated optimization
  • Lead-zinc sintering process
  • Prediction model
  • Quantity and quality

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Computer Science Applications

Cite this

Intelligent integrated optimization and control system for lead-zinc sintering process. / Wu, Min; Xu, Chen Hua; She, Jin Hua; Yokoyama, Ryuichi.

In: Control Engineering Practice, Vol. 17, No. 2, 02.2009, p. 280-290.

Research output: Contribution to journalArticle

Wu, Min ; Xu, Chen Hua ; She, Jin Hua ; Yokoyama, Ryuichi. / Intelligent integrated optimization and control system for lead-zinc sintering process. In: Control Engineering Practice. 2009 ; Vol. 17, No. 2. pp. 280-290.
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