Abstract
Stiction is a major problematic phenomenon affecting industrial control valves. An approach for detection and quantification of valve stiction using an one-stage optimization technique is proposed. A Hammerstein Model that comprises a complete stiction model and a process model is identified from industrial process data. Some difficulties in the identification approach are pointed out and strategies to overcome them are suggested, namely the smoothing of discontinuity points. A simulation study demonstrates the application of the proposed technique.
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Brásio, A.S.R., Romanenko, A., Fernandes, N.C.P. (2014). Stiction Detection and Quantification as an Application of Optimization. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8580. Springer, Cham. https://doi.org/10.1007/978-3-319-09129-7_13
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DOI: https://doi.org/10.1007/978-3-319-09129-7_13
Publisher Name: Springer, Cham
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