A gradient optimization scheme for solution purification process

Research output: Contribution to journalArticleScientificpeer-review

Researchers

  • Bei Sun
  • Weihua Gui
  • Yalin Wang
  • Chunhua Yang
  • Mingfang He

Research units

  • Central South University
  • New York University

Abstract

This paper presents a two-layer control scheme to address the difficulties in the modeling and control of solution purification process. Two concepts are extracted from the characteristics of solution purification process: additive utilization efficiency (AUE) and impurity removal ratio (IRR). The idea of gradient optimization of solution purification process, which transforms the economical optimization problem of solution purification process into finding an optimal decline gradient of the impurity ion concentration along the reactors, is proposed. A robust adaptive controller is designed to track the optimized impurity ion concentration in the presence of process uncertainties, disturbance and saturation. Oxidation reduction potential (ORP), which is a significant parameter of solution purification process, is also used in the scheme. The ability of the gradient optimization scheme is illustrated with a simulated case study of a cobalt removal process.

Details

Original languageEnglish
Pages (from-to)89-103
Number of pages15
JournalControl Engineering Practice
Volume44
Publication statusPublished - 1 Nov 2015
MoE publication typeA1 Journal article-refereed

    Research areas

  • Additive utilization efficiency, Gradient optimization, Impurity removal ratio, Oxidation reduction potential, Robust adaptive control, Solution purification

ID: 11758119