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Identification of Aerodynamic Coefficients of Longitudinal Movement and Error Estimates for Onboard Measurements of Supercritical Angles of Attack

  • Data Processing and Identification
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Journal of Computer and Systems Sciences International Aims and scope

Abstract

We propose an identification method for the aerodynamic coefficients of the lift force, drag force, and pitch moment in the supercritical range of angles of attack. The investigated models take into account the hysteresis with respect to the angle of attack, which is the main specific feature of aerodynamic coefficients in the specified range. Also, we consider the problem to find and correct errors of onboard measurements in the channels of the angle of attack and the air speed and the computational model for the forces and moments created by engines with a deflected thrust vector. We provide processing examples for the flight test data obtained during maneuvers on supercritical angles of attack; they confirm the efficiency of the proposed methods.

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Author information

Authors and Affiliations

  1. Federal State Unitary Enterprise State Research Institute of Aviation Systems, Moscow, 125319, Russia

    O. N. Korsun & A. V. Stulovskii

  2. Moscow Aviation Institute, Moscow, 125080, Russia

    V. N. Ovcharenko

  3. Chkalov Aviation Training Center, Akhtubinsk, 416500, Russia

    A. V. Kanyshev

  4. Moscow Institute of Physics and Technology, Dolgoprudny, Moscow oblast, 141701, Russia

    A. V. Stulovskii

Authors
  1. A. V. Kanyshev
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  2. O. N. Korsun
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  3. V. N. Ovcharenko
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  4. A. V. Stulovskii
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Corresponding author

Correspondence to O. N. Korsun.

Additional information

Original Russian Text © A.V. Kanyshev, O.N. Korsun, V.N. Ovcharenko, A.V. Stulovskii, 2018, published in Izvestiya Akademii Nauk, Teoriya i Sistemy Upravleniya, 2018, No. 3, pp. 33–47.

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Kanyshev, A.V., Korsun, O.N., Ovcharenko, V.N. et al. Identification of Aerodynamic Coefficients of Longitudinal Movement and Error Estimates for Onboard Measurements of Supercritical Angles of Attack. J. Comput. Syst. Sci. Int. 57, 374–389 (2018). https://doi.org/10.1134/S1064230718030048

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  • DOI: https://doi.org/10.1134/S1064230718030048

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