Adaptive fuzzy modeling for continuous galvanizing line

Toshihiko Watanabe, Hiroshi Narazaki, Yasutaka Uchiyama, Hiroaki Nakano

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)

Abstract

This paper describes an adaptive fuzzy modeling method and its successful application to the feedforward control for a continuous galvanizing line (CGL) in an iron and steel making plant. In CGL, due to the time delay that exists in the process, the feedforward control is indispensable for the accurate control of the solidified zinc of a galvanized steel strip. For this feedforward control to be successful, a model having the following two properties is required: First, the model should be able to describe the nonlinear characteristics of the process. Secondly, the model should have an adaptive capability to maintain accuracy in the long run. In this paper, we present an adaptive fuzzy modeling method that satisfies the above two criteria. The usefulness of our method is demonstrated using experimental results.

Original languageEnglish
Pages (from-to)663-668
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume1
Publication statusPublished - Dec 1 1997
Externally publishedYes
EventProceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 1 (of 5) - Orlando, FL, USA
Duration: Oct 12 1997Oct 15 1997

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Hardware and Architecture

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