FTC based on data driven FDI for a dearomatisation process

Mikko Vermasvuori, Mauri Sourander, Teemu Liikala, Dominique Sauter, Sirkka-Liisa Jämsä-Jounela

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    120 Downloads (Pure)

    Abstract

    In this paper, a fault tolerant control (FTC) system based on data driven fault detection (FDI) is presented. The behaviour of the system with proactive and reactive FTC strategies is studied in the presence of faults in an online product quality analyser with a simulated dearomatisation process operated under model predictive control (MPC). The performance of the system is validated onsite at the Neste Oil Oyj Naantali refinery. It is shown, that the inherent accommodation properties and model information in the studied MPC provide means to realise the proposed types of FTC strategies as confirmed both by simulation and the real process results. It is also shown that similar results are achieved within a simulated and the real process environments.
    Original languageEnglish
    Title of host publication16th Mediterranean Conference on Control and Automation, Corsica, 25-27 June
    EditorsDominique Sauter
    PublisherNancy-Université, Faculté des Sciences et Techniques
    Pages71-78
    DOIs
    Publication statusPublished - 2008
    MoE publication typeA4 Article in a conference publication

    Fingerprint

    Dive into the research topics of 'FTC based on data driven FDI for a dearomatisation process'. Together they form a unique fingerprint.

    Cite this