Research on assisted recovery algorithm of stall state based on signal guidance

Abstract Given the lack of quantitative guidance in the current stall recovery process, which leads to the pilot’s misoperation or untimely recovery, referring to the energy control theory of complex state recovery, a stall state-assisted recovery algorithm based on pitch angle, engine thrust, and roll angle signal guidance was determined. The structure pilot model and the kinematics simulation model of aircraft at a high angle of attack were established. The effectiveness of the algorithm has been verified by simulation analysis. The man-machine closed-loop simulation analysis results show that the algorithm can guide the pilot in effectively recovering from stall conditions under different stall scenarios and engine failure conditions.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2024-10-01
DOI
https://doi.org/10.1088/1742-6596/2879/1/012056
Primary Topic
Guidance and Control Systems
Type
article
Field-Weighted Citation Impact
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article

Research on assisted recovery algorithm of stall state based on signal guidance

Bo Gu, Zili Fang, Qi Zhang, Tao He
Journal of Physics Conference Series
Guidance and Control Systems
article

Research on assisted recovery algorithm of stall state based on signal guidance

Bo Gu, Zili Fang, Qi Zhang, Tao He
article en

Abstract

Abstract Given the lack of quantitative guidance in the current stall recovery process, which leads to the pilot’s misoperation or untimely recovery, referring to the energy control theory of complex state recovery, a stall state-assisted recovery algorithm based on pitch angle, engine thrust, and roll angle signal guidance was determined. The structure pilot model and the kinematics simulation model of aircraft at a high angle of attack were established. The effectiveness of the algorithm has been verified by simulation analysis. The man-machine closed-loop simulation analysis results show that the algorithm can guide the pilot in effectively recovering from stall conditions under different stall scenarios and engine failure conditions.

Journal of Physics Conference SeriesVol. 2879(1)
Air Force Engineering University (CN)
Affordable and clean energy
Openalex Percentile: Top 70%
Guidance and Control Systems
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