Intelligent Crew Support when Recovering a Civil Aircraft from a Difficult Spatial Position

 
Audio is AI-generated
135

Abstract

A new approach to development of the mathematical and software tools for synthesis of the control actions recovering an aircraft from a difficult spatial position is presented, using the sufficient accumulated empirical data. When calculating control actions, an aircraft behavior pattern, which is relevant to the flight situation arisen and containing information about piloting by a qualified crew, is in use. Synthesized actions can be employed within newly created autopilots when performing difficult flight modes or used to correct control influences performed by an average or low-skilled pilot in real time.

General Information

Keywords: human factor, difficult spatial position, virtual co-pilot, control synthesis

Journal rubric: Optimization Methods

OpenAlex citations: 1

OpenAlex trends: Air Traffic Management and Optimization, Advanced Control and Stabilization in Aerospace Systems, Aerospace Engineering and Applications

Information about the work in OpenAlex

Number of citations: 1

Topics

Air Traffic Management and Optimization

This cluster of papers focuses on various aspects of air traffic management, including conflict detection and resolution, aircraft scheduling, collision avoidance, delay prediction, and the integration of unmanned aircraft systems. It also addresses topics such as urban air mobility, traffic flow management, airport operations, and risk assessment in civil aviation.

Number of works: 62926  |  Total number of citations: 255454

Topic detailsв OpenAlex

Advanced Control and Stabilization in Aerospace Systems

This cluster of papers focuses on the concepts, principles, and applications of inertially stabilized platform technology. It covers topics such as control systems for stabilization, gimbal systems, line-of-sight stabilization, disturbance rejection, MEMS sensors, robust control, navigation aids, UAV operation, and signal processing in the context of airborne imaging and remote sensing systems.

Number of works: 8510  |  Total number of citations: 23435

Topic detailsв OpenAlex

Aerospace Engineering and Applications

This cluster of papers focuses on the application of model reference adaptive control in engineering systems, particularly in the context of small turbojet engines. It explores techniques such as robust fixed point transformations, fuzzy models, intelligent situational control, and genetic algorithms for adaptive control. The cluster also delves into topics related to deep learning, output prediction, and the use of unmanned aerial vehicles for aircraft maintenance.

Number of works: 7111  |  Total number of citations: 9779

Topic detailsв OpenAlex

Work details in OpenAlex

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2024140208

Received 13.05.2024

Accepted

Published

For citation: Kuravsky, L.S., Greshnikov, I.I., Makhortov, I.A., Bondarenko, N.V. (2024). Intelligent Crew Support when Recovering a Civil Aircraft from a Difficult Spatial Position. Modelling and Data Analysis, 14(2), 124–139. (In Russ.). https://doi.org/10.17759/mda.2024140208

© Kuravsky L.S., Greshnikov I.I., Makhortov I.A., Bondarenko N.V., 2024

License: CC BY-NC 4.0

References

  1. Afanasyev V.N., Kolmanovsky V.B., Nosov V.R. Mathematical theory of control systems. – M.: Higher School, 2003.
  2. Greshnikov I.I., Kuravsky L.S., Yuryev G.A. Principles of building a software and hardware complex for intellectual support of the crew and assessment of its level of training // Data modeling and analysis. 2021. Volume 11. No. 2. pp.5-30. DOI: https://doi.org/10.17759/mda.2021110201
  3. Flight dynamics: A textbook for students of higher educational institutions / V. Efremov, V.F. Zakharchenko, V.N. Ovcharenko, etc.; edited by G.S. Byushgens. - M.: Mashinostroenie, 2011. 776 p.
  4. Kuravsky L.S., Yurieva N.E., Yuriev G.A., Porokhin V.A., Greshnikov I.I., Zlatomrezhev V.I. "THE INTELLIGENT SYSTEM FOR FLIGHT ANALYSIS V. 3.3" (ISFA V. 3.3). Certificate of registration of the computer program 2021668683, 11/18/2021. Application No. 2021668197 dated 11/17/2021.
  5. Panteleev A.V., Bortakovsky S. Theory of management in examples and tasks. – M.: Higher School, 2003. – 583 p.
  6. Tikhonov V.I., Shakhtarin B.I., Sizykh V.V. Random processes. Examples and tasks. Volume 3/ Sizykh V.V. – 2nd ed. – M.: Hotline – Telecom, 2014. – 408 p.
  7. Kuravsky L.S. and Yuryev G.A., A novel approach for recognizing abnormal activities of operators of complex technical systems: three non-standard metrics for comparing performance patterns, International Journal of Advanced Research in Engineering and Technology (IJARET), 11(4), 2020, pp. 119-136. http://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=11&IType=4
  8. Kuravsky L.S., Greshnikov I.I., Yuryev G.A., and Zlatomrezhev V.I. “Synthesis of Civil Aircraft Control Using Empirical Data and Quantum Filtering,” Lobachevskii J. Math., 44 (6), 2077–2098 (2023).
  9. Kuravsky L.S., Yuryev G.A., Detecting Abnormal Activities of Operators of Complex Technical Systems and their Causes Basing on Wavelet Representations, International Journal of Civil Engineering and Technology (IJCIET) 10(2), 2019, pp. 724–742. http://www.iaeme.com/IJCIET/asp?JType= IJCIET&VType=10&IType=2.
  10. Kuravsky L.S., Yuryev G.A., Zlatomrezhev V.I. New approaches for assessing the activities of operators of complex technical systems. Eksperimental’naya psikhologiya = Experimental psychology (Russia), 2019, vol. 12, no. 4, pp. 27—49. doi:10.17759/exppsy.2019120403.
  11. Kuravsky L.S., Yuryev G.A., Zlatomrezhev V.I., Yuryeva N.E. Assessing the Aircraft Crew Actions with the Aid of a Human Factor Risk Model. Eksperimental’naya psikhologiya = Experimental Psychology (Russia), 2020. Vol. 13, no. 2, pp. 153—181. DOI: https://doi.org/10.17759/exppsy.2020130211.

Information About the Authors

Lev S. Kuravsky, Doctor of Engineering, professor, Dean of the Computer Science Faculty, Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-3375-8446, e-mail: l.s.kuravsky@gmail.com

Ivan I. Greshnikov, Candidate of Science (Engineering), Head of laboratory, State Research Institute of Aviation Systems (GosNIIAS), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-5474-3094, e-mail: vvanes@mail.ru

Innokenty A. Makhortov, Graduate Student, Moscow State University of Psychology and Education, Engineer of the 2nd Category, State Research Institute of Aviation Systems (GosNIIAS), Moscow, Russian Federation, ORCID: https://orcid.org/0009-0006-6919-9419, e-mail: inok546@ya.ru

Nikolay V. Bondarenko, Bachelor Student, Moscow State University of Psychology and Education (MSUPE), technician, State Research Institute of Aviation Systems (GosNIIAS), Moscow, Russian Federation, e-mail: end8line@gmail.com

Metrics

 Web Views

Whole time: 480
Previous month: 20
Current month: 13

 PDF Downloads

Whole time: 135
Previous month: 9
Current month: 41

 Total

Whole time: 615
Previous month: 29
Current month: 54