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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2023 Issue 10, Pages 118–131 (Mi at16225)

Topical issue

Information support for aircraft crew in takeoff and landing modes

A. M. Shevchenko, B. V. Pavlov, G. N. Nachinkina

Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

Abstract: Methods for assessing the current state and forecasting critical events are developed in order to reduce the stress load on the pilot of an aircraft. These methods are based on the energy approach to flight control. Algorithms for forecasting the possibility of safe takeoff in the presence of high-rise obstacles on the trajectory are obtained. Forecast correction algorithms are introduced. Algorithms for calculating the braking distance depending on the runway condition are found in the modes of landing or emergency braking at takeoff. Some ways to correct forecasts considering the sequence and operation time of all braking devices are proposed. Model tests are carried out for the algorithms in the entire range of operating conditions.

Keywords: takeoff, landing, forecasting methods, information support, energy approach.

Presented by the member of Editorial Board: V. M. Glumov

Received: 19.06.2023
Revised: 28.07.2023
Accepted: 02.08.2023

DOI: 10.31857/S0005231023100100


 English version:
Automation and Remote Control, 2023, 84:10, 1098–1107


© Steklov Math. Inst. of RAS, 2026