Subjective Noticeability of Variations in Quasi-Steady Aerodynamic Stall Dynamics

Stephan Smets, Coen de Visser, Daan Pool

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

To collect experiment data on the subjective noticeability of variations in stall dynamics in simulated symmetric quasi-steady stalls, Just Noticeable Difference (JND) thresholds were measured using a passive human-in-the-loop experiment. For a flow separation-based stall model of the Cessna Citation II, these thresholds were determined for variations in the flow separation lag time-constant τ 1 and the stall abruptness parameter a 1. Using pairwise comparisons of the baseline model and a model with a parameter offset, a modified yes/no 1-up/1-down staircase procedure was used to measure upper and lower JND thresholds from twelve pilots. The experiment results show that, as also expected from an offline stall model sensitivity analysis, pilots are more sensitive to variations in a 1 (i.e., 5-10% absolute JND thresholds with respect to the baseline parameter value) than in τ 1 (20-30% absolute JND thresholds). Furthermore, the upper and lower thresholds were found to be symmetric around the baseline value for both parameters. Overall, the obtained results indicate that human pilots are sensitive even to comparatively small offsets in key stall model parameters, which should thus be considered in the future development of the flight models used for simulator-based stall training.

Original languageEnglish
Title of host publicationAIAA Scitech 2019 Forum
Subtitle of host publication7-11 January 2019, San Diego, California, USA
Number of pages15
ISBN (Electronic)978-1-62410-578-4
DOIs
Publication statusPublished - 2019
EventAIAA Scitech Forum, 2019 - San Diego, United States
Duration: 7 Jan 201911 Jan 2019
https://arc.aiaa.org/doi/book/10.2514/MSCITECH19

Conference

ConferenceAIAA Scitech Forum, 2019
CountryUnited States
CitySan Diego
Period7/01/1911/01/19
Internet address

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