Nonlinearity tests of the Saint Venant equations

Mathias Foo, Erik Weyer

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

    Abstract

    The Saint Venant equations are two nonlinear partial differential equations (PDE) which are used to describe the dynamics of one-dimensional flow in open water channels. Despite being nonlinear PDEs, the Saint Venant equations seem to exhibit linear behaviour in response to sinusoidal input signals. It is therefore of interest to determine "how nonlinear" the Saint Venant equations are. In this paper, we investigate the nonlinearity in the Saint Venant equations using several commonly used nonlinearity tests suggested in the literature. Five different open water channels are considered, and the results from the nonlinearity tests show that the Saint Venant equations are nearly linear in an operating region from at least half the nominal flow to twice the nominal flows, and many of the channels display linear behaviour in a larger operating region. This finding is useful as it further justifies the use of linear control design methodologies for open water channels. © 2013 IEEE.
    Original languageEnglish
    Title of host publicationProceedings of the IEEE Conference on Decision and Control
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages4925-4930
    Number of pages6
    ISBN (Electronic)978-1-4673-5717-3, 978-1-4799-1381-7
    ISBN (Print)978-1-4673-5714-2
    DOIs
    Publication statusPublished - 10 Mar 2014
    EventIEEE Conference on Decision and Control - Florence, Italy
    Duration: 10 Dec 201313 Dec 2013

    Publication series

    NameProceedings of the IEEE Conference on Decision and Control

    Conference

    ConferenceIEEE Conference on Decision and Control
    Country/TerritoryItaly
    CityFlorence
    Period10/12/1313/12/13

    Keywords

    • Equations
    • Correlation
    • Mathematical model
    • Harmonic analysis
    • Frequency response
    • Broadband communication
    • Time-domain analysis

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