Planning the search for separating parts of the launch vehicle using a group of unmanned aerial vehicles
Authors: Goncharenko V.I., Lebedev G.N., Mikhaylin D.A.
Published in issue: #12(108)/2020
DOI: 10.18698/2308-6033-2020-12-2040
Category: Aviation and Rocket-Space Engineering | Chapter: Aircraft Dynamics, Ballistics, Motion Control
The paper deals with the processes of maintaining a special class of mobile objects, whose schedules are either given or require preassignment in order to maintain these objects at the right time and in the right place. The posed problem of planning the flight of a group of aerial vehicles is solved using a continuous form of dynamic programming, according to which the Bellman equation in partial derivatives corresponds to the optimality condition. An original approach to solving the problem of pre-flight and operational planning of actions of a group of unmanned aerial vehicles based on a genetic algorithm is proposed. The fundamental difference between the problem being solved and the well-known traveling salesman problem is in taking into account the required maintenance schedule. The developed planning automation tool makes it possible to increase the efficiency of measures to detect separating parts of launch vehicles using a group of unmanned aerial vehicles. Findings of research show that the developed genetic algorithm is better not only than algorithms based on one-parameter and two-parameter criteria, but even better than algorithms based on a three-parameter criterion.
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