Optimization of the Information and Measurement System of an Unmanned Aircraft
Year: 2021
Type: article
Abstract: Background. Today, there is another historical surge in the development of unmanned aerial vehicles and many models for unmanned aircraft systems. These developments are advanced in the field of unmanned aviation, they are rapidly changing their structure and appearance, as well as blocks for control and guidance systems with hardware and software for them, which are directly related to the performance of the main task. As a rule, the main blocks for the guidance systems links contain objects of information-measuring and control systems (IIUS), which are also an integral part of the automatic control system in the UAV. Materials and methods. The need to obtain an objective assessment for these systems, namely at the early stages of design, the solution of a number of tasks for analysis for the preparation of management decisions of the LPR, leads developers to a more complete account of their assessments with characteristics and parameters. It should be noted that in the press, scientific papers, etc., there is also a surge of interests and various approaches to solving such problems, in particular, on the choice of the structure and parameters of the IIUS. Each of these approaches and methods for evaluating object models for IIUS has its own advantages and disadvantages, at the same time, any such research should be supported by an experiment, usually computational. Unfortunately, there are few works among these methods and approaches, especially on the structuralparametric optimization of nonlinear, non-stationary and stochastic models of IIUS objects. Results and conclusions. This article considers one of the approaches to the solutions of structural-parametric optimization of object models for the information-measuring and control system of the IIUS as part of the units of the automatic control system of an unmanned aerial vehicle. The approach is based on the complex use of simulation (and computer) modeling algorithms for statistical synthesis and analysis of stochastic systems of variable structure.
Authors: A.V. Poltavskiy, A.A. Tyugashev, N.K. Yurkov
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4285523596