Cognitive Control Systems in Steel Processing Lines for Minimised Energy Consumption and Higher Product Quality (Cognitive Control): Final Report

Andreas Wolf, Martina Thormann Thormann, Mohieddine Jelali, Björn Sjögren, Jürgen Bathelt, Peter Förster, Luis Felipe Recalde, Reza Katebi, Hong Yue, Wolfram Gerlach

Research output: Book/ReportBook

9 Downloads (Pure)

Abstract

The aim of Cognitive Control was to create cognitive automation systems with the capabilities automatic control performance monitoring (CPM), self-detection and automatic diagnosis of faults (sensors, actuators, controller) and self-adaptation in control system environments to optimise the product quality and minimise energy consumption in steel during the whole life cycle. In this project several software tools for online Control Performance Monitoring (CPM), monitoring energy efficiency, diagnosis of poor performance root-causes and control re-tuning for univariable and multivariable, linear and nonlinear processes were developed. The software tools were Graphical User Interface (GUI) that provided interface to access process data. The implemented methodologies were subsequently published as conference and journal papers. The methods were tested at hot strip mills, annealing furnaces and galvanizing lines.
Original languageEnglish
Place of PublicationLuxembourg
Number of pages165
DOIs
Publication statusPublished - 22 Jul 2015

Keywords

  • continuous control performance
  • steel processing
  • energy consumption

Fingerprint Dive into the research topics of 'Cognitive Control Systems in Steel Processing Lines for Minimised Energy Consumption and Higher Product Quality (Cognitive Control): Final Report'. Together they form a unique fingerprint.

  • Cite this

    Wolf, A., Thormann, M. T., Jelali, M., Sjögren, B., Bathelt, J., Förster, P., ... Gerlach, W. (2015). Cognitive Control Systems in Steel Processing Lines for Minimised Energy Consumption and Higher Product Quality (Cognitive Control): Final Report. Luxembourg. https://doi.org/10.2777/90680