АЛГОРИТМИЧЕСКОЕ ОБЕСПЕЧЕНИЕ ОПТИМИЗАЦИИ ПАРАМЕТРОВ ДЛЯ АВТОМАТИЗИРОВАННОЙ СИСТЕМЫ УПРАВЛЕНИЯ ТЕХНИЧЕСКОЙ ЭКСПЛУАТАЦИЕЙ АВИАЦИОННОЙ ТЕХНИКИ НА ОСНОВЕ ПРИМЕНЕНИЯ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

ALGORITHMIC PROVISION OF OPTIMIZATION OF PARAMETERS FOR AUTOMATED CONTROL SYSTEM TECHNICAL OPERATION OF AERONAUTICAL EQUIPMENT BASED ON THE APPLICATION OF INFORMATION TECHNOLOGIES

Yatsechko M.I.   Ippolitov S.V.   Repin R.V.   Malyshev V.A.  

UDC 263.486
DOI: 10.26102/2310-6018/2019.27.4.029

  • Abstract
  • List of references
  • About authors

The main problem in the development of algorithmic support for an automated control system for the technical operation of aircraft is the stochastic process of the probability of transitions of aircraft from one state to another. The article discusses an approach to solving the problem of optimizing the parameters of automation of the process of technical operation of aircraft, by achieving the maximum value of the indicator of functional efficiency in the conditions of limited resources (personnel of the engineering and aviation service and ground handling facilities). The analysis of the development of an automated control system for the technical operation of aircraft and their current status is considered. Aircraft planning methods are considered, optimization models by various criteria are shown. The positive and negative aspects of planning based on the queuing system are reflected, as well as the analysis of existing decisionmaking systems in the planning of work on aircraft. It is noted that existing systems do not solve the problem of distributing specialists to aircraft when servicing a group of aircraft. The task of optimizing the control system in conditions of a limited number of personnel with a minimum training time for a group of aircraft. An algorithm is proposed that implements the procedure for prioritizing the performance of work by engineering and aviation service specialists in the process of preparing a group of aircraft. On the basis of information on the number of personnel, the training time, each specialist forms a priority (turn) for the performance of work by specialists on aircraft. This algorithm is implemented using the Delphi programming language, and calculations and their approximations were performed using MS Excel. The advantage of the above algorithm is the possibility of its application, subject to a limited number of personnel involved in the preparation of aircraft.

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Yatsechko Mikhail Ivanovich

Email: yatsechko@list.ru

Military Training and Scientific Center of the Air Force "Air Force Academy named after professor N.E. Zhukovsky and Y.A. Gagarina "

Voronezh, Russian Federation

Ippolitov Sergey Viktorovich
Candidate of Technical Sciences, Associate Professor
Email: s_ippolitoff@mail.ru

Military Training and Scientific Center of the Air Force "Air Force Academy named after professor N.E. Zhukovsky and Y.A. Gagarina "

Voronezh, Russian Federation

Repin Roman Vasilievich

Email: roma77779@mail.ru

Military Training and Scientific Center of the Air Force "Air Force Academy named after professor N.E. Zhukovsky and Y.A. Gagarina "

Voronezh, Russian Federation

Malyshev Vladimir Alexandrovich
Doctor of Technical Sciences, Professor
Email: vamalyshev@mail.ru

Military Training and Scientific Center of the Air Force "Air Force Academy named after professor N.E. Zhukovsky and Y.A. Gagarina "

Voronezh, Russian Federation

Keywords: algorithmic software, parameter optimization, automated control system, aviation technology, technical operation, technical condition

For citation: Yatsechko M.I. Ippolitov S.V. Repin R.V. Malyshev V.A. ALGORITHMIC PROVISION OF OPTIMIZATION OF PARAMETERS FOR AUTOMATED CONTROL SYSTEM TECHNICAL OPERATION OF AERONAUTICAL EQUIPMENT BASED ON THE APPLICATION OF INFORMATION TECHNOLOGIES. Modeling, Optimization and Information Technology. 2019;7(4). URL: https://moit.vivt.ru/wp-content/uploads/2019/11/YatsechkoSoavtors_4_19_1.pdf DOI: 10.26102/2310-6018/2019.27.4.029 (In Russ).

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Published 31.12.2019