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

L F Recalde, R Katebi, H Tauro

Research output: Contribution to conferencePaperpeer-review

6 Citations (Scopus)


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
Number of pages6
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


ConferenceIEEE International Conference of Control Applications
Abbreviated titleCCA
Internet address


  • PID Control
  • multiscale principal component analysis
  • steel processes

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