Skip to main navigation Skip to search Skip to main content

A Frequency-Domain Approach to Analysing Dynamic Deep Stall Recovery

    Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

    4 Citations (Scopus)
    975 Downloads (Pure)

    Abstract

    Although the problem of locked-in deep stall is well known and has a long history, there currently exists no consistent procedure that can guarantee recovery. Past studies have suggested that it might be possible to rock the aircraft nose to destabilise the stable deep stall trim point, thereby gaining enough momentum to push the nose down. However, the methods used in these studies are either of preliminary or empirical nature and brought inconsistent results. In this paper, we use bifurcation analysis to derive a recovery manoeuvre, specifically by assessing the aircraft’s nonlinear frequency response under an elevator forcing. The ensuing nonlinear Bode plot detects unstable (divergent) solutions near resonance that contributes to a successful deep stall recovery. Moreover, the nonlinear resonant frequency is slightly lower than the result obtained using linear analysis, and time simulation shows that relying on the linear result does not lead to a successful recovery. It was also found that at the high angles-of-attack associated with deep stall, the frequency separation between the short period and phugoid mode is significantly reduced, leading to only one visible peak in the frequency response. This feature is also reflected in the time-domain step response.
    Original languageEnglish
    Title of host publicationAIAA SCITECH 2022 Forum
    Subtitle of host publicationAIAA SciTech Forum
    PublisherAmerican Institute of Aeronautics and Astronautics Inc. (AIAA)
    Number of pages10
    ISBN (Electronic)9781624106316
    DOIs
    Publication statusPublished - 29 Dec 2021
    Event2022 AIAA SciTech Forum - San Diego, United States
    Duration: 3 Jan 2022 → 7 Jan 2022

    Conference

    Conference2022 AIAA SciTech Forum
    Country/TerritoryUnited States
    CitySan Diego
    Period3/01/22 → 7/01/22

    Fingerprint

    Dive into the research topics of 'A Frequency-Domain Approach to Analysing Dynamic Deep Stall Recovery'. Together they form a unique fingerprint.

    Cite this