PID based control performance assessment for rolling mills: a multiscale PCA approach

L F Recalde, R Katebi, H Tauro

Research output: Contribution to conferencePaper

6 Citations (Scopus)

Abstract

This work is focused on exploring the use of Multi-scale Principal Component Analysis (MSPCA) for performance assessment and diagnosis of PID controllers in steel rolling processes. An optimal PID controller is used for performance benchmark. Diagnosis is implemented using an angle-classifier PCA-based approach. Theoretical framework of MSPCA, the performance index and the diagnosis procedure are developed. A procedure for implementing the proposed algorithm is presented. Simulations on the rolling mill roll force demonstrate reliable assessment and diagnosis results and practical use of the proposed method
Original languageEnglish
Pages1075-1080
Number of pages6
DOIs
Publication statusPublished - 14 Nov 2013
EventIEEE International Conference of Control Applications: IEEE Multi-Conference on Systems and Control - Hyderabad International Convention Centre (HICC), Hyderabad, India
Duration: 28 Aug 201330 Aug 2013
http://msc2013.ieeecss.org/

Conference

ConferenceIEEE International Conference of Control Applications
Abbreviated titleCCA
CountryIndia
CityHyderabad
Period28/08/1330/08/13
Internet address

Keywords

  • PID Control
  • multiscale principal component analysis
  • steel processes

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  • Projects

    Research Output

    • 6 Citations
    • 1 Proceeding

    Sequential control performance diagnosis of steel processes

    Recalde Camacho, L., Katebi, R. & Yue, H., 24 Aug 2014, p. 2830 – 2835. 6 p.

    Research output: Contribution to conferenceProceeding

  • Cite this

    Recalde, L. F., Katebi, R., & Tauro, H. (2013). PID based control performance assessment for rolling mills: a multiscale PCA approach. 1075-1080. Paper presented at IEEE International Conference of Control Applications, Hyderabad, India. https://doi.org/10.1109/CCA.2013.6662894