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ARTICLE
Analysis of an aircraft departure and spin characteristics using Nash equilibrium theory
1
School of Aircraft Engineering, Nanchang Hangkong University, China
Submission date: 2023-03-11
Final revision date: 2023-06-12
Acceptance date: 2023-06-16
Online publication date: 2023-09-15
Publication date: 2023-10-30
Corresponding author
Journal of Theoretical and Applied Mechanics 2023;61(4):647-658
KEYWORDS
TOPICS
ABSTRACT
The departure characteristics and steady-spin characteristics of a training aircraft are analyzed.
The sideslip departure characteristics of the aircraft under the maximum weight and
the minimum weight are obtained, respectively. When predicting the steady-spin, the equilibrium
point of the spin is found by an analytic-graphic method based on “Nash equilibrium
theory”, and the steady-spin parameters of this aircraft are obtained under the conditions
of maximum weight and minimum weight, left spin and right spin, neutral controls and prospin
controls. The simulation results have good theoretical significance for the optimization
and improvement of the aircraft in the preliminary design stage.
REFERENCES (18)
1.
Abramov N., Goman M., Khrabrov A., 2004, Aircraft dynamics at high incidence flight with account of unsteady aerodynamic effects, AIAA Atmospheric Flight Mechanics Conference and Exhibit, 5274.
2.
Bennett C.J., Lawson N.J., 2018, On the development of flight-test equipment in relation to the aircraft spin, Progress in Aerospace Sciences, 102, 47-59.
3.
Bihrle Jr W., Barnhart B., 1983, Spin prediction techniques, Journal of Aircraft, 20, 2, 97-101.
4.
Chambers J.R., 1969, Analysis of lateral-directional stability characteristics of a twin-jet fighter airplane at high angles of attack, NASA TN D-5361.
5.
Churkin A., Bialek J., Pozo D., Sauma E., Korgin N., 2021, Review of cooperative game theory applications in power system expansion planning, Renewable and Sustainable Energy Reviews, 145, 111056.
6.
Collins J., Sable A., 2015, Stall and Spin Accidents: Keep the Wings Flying, AOPA Air Safety Institute.
7.
Cummings R.M., Liersch C., Schuette A., 2018, Multi-disciplinary design and performance assessment of effective, agile NATO air vehicles, 2018 Applied Aerodynamics Conference, 2838.
8.
Farcy D., Khrabrov A.N., Sidoryuk M.E., 2020, Sensitivity of spin parameters to uncertainties of the aircraft aerodynamic model, Journal of Aircraft, 57, 922-937.
9.
Figat M., Goraj Z., 2016, Analysis of stability derivatives important to recovery from spin, Aviation, 20, 2, 48-52.
10.
Ignatyev D.I., Khrabrov A.N., 2015, Neural network modeling of unsteady aerodynamic characteristics at high angles of attack, Aerospace Science and Technology, 41, 106-115.
11.
Kapuscinski T., Szczerba P., Rogalski T., Rzucidlo P., Szczerba Z., 2020, A vision-based method for determining aircraft state during spin recovery, Sensors (Basel), 20, 8, 2401.
12.
Kou J., Zhang W., 2021, Data-driven modeling for unsteady aerodynamics and aeroelasticity, Progress in Aerospace Sciences, 125, 100725.
13.
Lee S., Choi Y., Chung H.S., 2019, Forced oscillation wind tunnel tests for dynamic characteristic of aircraft, AIAA Aviation 2019 Forum.
14.
Malik B., Akhtar S., Masood J., 2017, Influence of flight control law on spin dynamics of aerodynamically asymmetric aircraft, Journal of Theoretical and Applied Mechanics, 55, 963-975.
15.
Mokhtari M.A., Sabzehparvar M., 2018, Identification of spin maneuver aerodynamic nonlinear model by applying ensemble empirical mode decomposition and extended multipoint modeling, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 233, 1865-1878.
16.
Rogalski T., Rzucidło P., Prusik J., 2020, Unmanned aircraft automatic flight control algorithm in a spin maneuver, Aircraft Engineering and Aerospace Technology, 92, 8, 1215-1224.
17.
Sibilski K., Wróblewski W., 2012, Prediction of aircraft spin characteristics by continuation and bifurcation methods, AIAA Atmospheric Flight Mechanics Conference, 4799.
18.
Stenfelt G., Ringertz U., 2013, Yaw departure and recovery of a tailless aircraft configuration, Journal of Aircraft, 50, 311-315.
| eISSN: | 2543-6309 |
| ISSN: | 1429-2955 |
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