An Approach to Developing Mathematical Software of On-Board Helicopter Flight Simulator Decision Support System

Guchenko Mykola (), Shmakov Vitalii (), Yudina Anna (), Belska Vikroriya (), Cejka Jiri () and Bartuska Ladislav ()
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Guchenko Mykola: Kremenchuk Mykhailo Ostrohradskyi National University., Department of Computer and Information Systems, Kremenchuk, Ukraine
Shmakov Vitalii: Ivan Kozhedub Kharkiv National Air Force University, Department of Flight Operation and Combat Use of Helicopters, Kharkiv, Ukraine
Yudina Anna: Kremenchuk Mykhailo Ostrohradskyi National University., Department of Computer and Information Systems, Kremenchuk, Ukraine
Belska Vikroriya: Kremenchuk Mykhailo Ostrohradskyi National University., Department of Computer and Information Systems, Kremenchuk, Ukraine
Cejka Jiri: The Institute of Technology and Business in Ceske Budejovice, Department of Informatics and Natural Sciences, Okruzni 517/10, Ceske Budejovice, Czech Republic
Bartuska Ladislav: The Institute of Technology and Business in Ceske Budejovice, Department of Transport and Logistics, Okruzni 517/10, Ceske Budejovice, Czech Republic

LOGI – Scientific Journal on Transport and Logistics, 2022, vol. 13, issue 1, 61-72

Abstract: The work explores methods and develops aids to improve a pilot flight training level using Full Flight Simulators. It examines their didactic advantages over real helicopters by implementing on-board intelligent decision support systems (IDSS). These simulation programs monitor actions of learner, find the best ways to correct errors and generate appropriate instructions. The training is carried out by reference point methods while the helicopter flight dynamics model simulates a flight and helps an instructor in parallel. Sufficiently simple and accurate model of helicopter flight dynamics was selected and tested to assess the proposed methods and aids. Our analysis introduces a functional structure of IDSS as an adaptive control system with a reference model. We further conducted a study on developing models, methods and means of automatic analysis, forecasting, optimization and correction of actions. Combining single-criteria conditional and vector optimization methods, we found out optimal flight parameters. The research findings revealed that the chosen optimization method requires too many system resources for the optimal solution to be found in a short time. The study thereby comes up with applying ANNs to solve this problem.

Keywords: Pilot training; flight simulators didactic features; on-board decision support system; mathematical modeling of pilot actions; automatic synthesis of instructions (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:logitl:v:13:y:2022:i:1:p:61-72:n:2

DOI: 10.2478/logi-2022-0006

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