Calibration of physical models with process data using FIR filtering
Ikonen, Enso; Selek, István (2021-01-21)
Ikonen, Enso
Selek, István
Institute of Electrical and Electronics Engineers
21.01.2021
E. Ikonen and I. Selek, "Calibration of Physical Models with Process Data using FIR Filtering," 2020 Australian and New Zealand Control Conference (ANZCC), Gold Coast, Australia, 2020, pp. 143-148, doi: 10.1109/ANZCC50923.2020.9318340
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© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe202102094090
https://urn.fi/URN:NBN:fi-fe202102094090
Tiivistelmä
Abstract
Automatic calibration of physical plant models in the context of monitoring and control of industrial processes is considered. A structure integrating a physical model and estimated FIR filters is proposed. In addition, a finite state FIR structure is proposed to complement the calibrated physical model with a data-driven mapping. The approach is illustrated in simulations using the van der Vusse CSTR benchmark.
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