A method of formalizing knowledge about the reflexive control of the processes of identifying obstacles to the movement of an unmanned system

DOI:10.31673/2412-4338.2020.026253

Abstract

The subject of the study is the processes of reflexive control of unmanned aerial vehicles. The aim is to develop a method for formalizing knowledge about the reflexive control of the processes of identifying obstacles to the movement of an unmanned system. Objective: to develop models and methods aimed at reflexive motion control of an unmanned system. The considered models and methods are: a model of reflexive behavior, a method of reflexive programming of actions of various sources. The following results are obtained: A model of the decision-making problem for the implementation of a second-rank reflexive control strategy and a second-rank reflexive control method are proposed. The developed models and methods that are basic for the development of a method for determining obstacles and dynamic objects for unmanned aerial vehicles. The interaction of systems in conditions of uncertainty about the situation determines a certain rank of reflection, is characterized by the composition of the models of decision-making subsystems and the formation of the trajectory of the obstacle. The use of mathematical models makes it possible to develop a method of reflexive and informational control and, on its basis, to automate the process of decision support in complex conflict situations. The proposed model of reflexive behavior and the method of reflexive control of the second rank introduce the method of formalizing knowledge of reflexive control into the control system of unmanned aerial vehicles, which will make it possible to identify obstacles in the path of movement in real time and ensure traffic safety. The prospect for further research in this direction is the development of fuzzy models and methods of reflexive control, taking into account the ideas of subjects about the structure and dynamics of the development of the situation.

Keywords: unmanned aerial vehicle, reflexive control, identification of obstacles in the path of the unmanned system.

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