LAPSE:2021.0353
Published Article
LAPSE:2021.0353
Computer-Aided Nonlinear Frequency Response Method for Investigating the Dynamics of Chemical Engineering Systems
May 11, 2021
The Nonlinear Frequency Response (NFR) method is a useful Process Systems Engineering tool for developing experimental techniques and periodic processes that exploit the system nonlinearity. The basic and most time-consuming step of the NFR method is the derivation of frequency response functions (FRFs). The computer-aided Nonlinear Frequency Response (cNFR) method, presented in this work, uses a software application for automatic derivation of the FRFs, thus making the NFR analysis much simpler, even for systems with complex dynamics. The cNFR application uses an Excel user-friendly interface for defining the model equations and variables, and MATLAB code which performs analytical derivations. As a result, the cNFR application generates MATLAB files containing the derived FRFs in a symbolic and algebraic vector form. In this paper, the software is explained in detail and illustrated through: (1) analysis of periodic operation of an isothermal continuous stirred-tank reactor with a simple reaction mechanism, and (2) experimental identification of electrochemical oxygen reduction reaction.
Keywords
experimental identification, frequency response functions, nonlinear process dynamics, periodic processes, Process Intensification, process systems engineering
Suggested Citation
Živković LA, Vidaković-Koch T, Petkovska M. Computer-Aided Nonlinear Frequency Response Method for Investigating the Dynamics of Chemical Engineering Systems. (2021). LAPSE:2021.0353
Author Affiliations
Živković LA: Faculty of Technology and Metallurgy, University of Belgrade, 11060 Belgrade, Serbia
Vidaković-Koch T: Max Planck Institute for Dynamics of Complex Technical Systems, 39106 Magdeburg, Germany [ORCID]
Petkovska M: Faculty of Technology and Metallurgy, University of Belgrade, 11060 Belgrade, Serbia [ORCID]
Journal Name
Processes
Volume
8
Issue
11
Article Number
E1354
Year
2020
Publication Date
2020-10-26
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr8111354, Publication Type: Journal Article
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LAPSE:2021.0353
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doi:10.3390/pr8111354
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May 11, 2021
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CC BY 4.0
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May 11, 2021
 
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May 11, 2021
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Original Submitter
Calvin Tsay
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