DOI:https://doi.org/10.15407/kvt201.03.049
Cybernetics and Computer Engineering, 2020, 3(201)
VOLKOV O.Y.
Head of the Intelligent Control Department
email: alexvolk@ukr.net ORCID: 0000-0002-5418-6723
PAVLOVA S.V., DSc. (Engineering),
Senior Researcher, Associate Professor
Chief Researcher of the Intelligent Control Department
email: dep185@irtc.org.ua ORCID: 0000-0003-4012-9821
SIMAKHIN V.M., PhD student
Junior Researcher of the Intelligent Control Department
email: thevladsima@gmail.com ORCID: 0000-0003-4497-0925
SEMENOG R.V. S., PhD student
Junior Researcher of the Intelligent Control Department
email: dep185@irtc.org.ua ORCID: 0000-0002-6714-0644
International Research and Training Center for Information Technology
and Systems of NAS and MES of Ukraine,
40, Acad. Glushkov av., Kyiv, 03187, Ukraine
COMPLEX FOR MODELING AIRCRAFTS’ DYNAMIC CONFLICT SITUATIONS IN REAL-TIME
Introduction. Aircraft flight simulation has many solved and open tasks. The development of modern aviation is impossible without high-quality modeling tools, and every new proposed development must be thoroughly tested. Real-time aircraft conflict prevention is one of the key tasks in aviation, and therefore requires solutions and tools for modeling and testing.
The purpose of the article is to provide brief information on identifying and resolving aircraft conflict situations methods, to develop a software package for modeling dynamic conflict situations in real-time.
Methods. Software development of complex is based on the statistical and simulation computer modeling, computational geometry and mathematical analysis methods. The theory of automatic control, navigation and intelligent control methods are used to identify and resolve conflict situations.
Results. The developed modeling complex allows evaluating the quantitative indicators of aircraft simulation in the generated space and examination the features of conflict situations resolution. Modeling of movement, interaction and maneuvering of the aircraft is carried out. In conflict resolution, the experimental system was more efficient than the current TCAS II system.
Testing the developed modeling complex, detecting and resolving conflict situations algorithms was performed using typical research scenarios, ranging from simple conflicts between two aircraft to extremely complex, involving a significant number of aircrafts in a single conflict. The main indicators for the optimal resolution of conflicts are the number and length of maneuvers to avoid a conflict situation with different airspace congestion, with different types of conflict situations associated with violations of the separation rules.
Conclusions. The proposed complex can be used to research the interaction of numerous aircrafts in a dynamic environment, the development and testing of conflict situations resolving methods. The modular structure of the complex allows performing simulations of other elements, such as data transmission systems.
Keywords: information technology, aviation, computer simulation, conflict situation, aircraft, TCAS system.
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Received 20.05.2020