Development of mobile aircraft control system model with additive technologies

Abstract

The article describes the parameter evaluation of mobile spacecraft control systems and identifies their main advantages in comparison with stationary assets. The model and the mobile spacecraft control system mock-up using additive technologies were developed with existing methods for prototyping complex technical systems. This model performs experimental operations of the prototype of the mobile control system, accompanies the spacecraft in the area of its radio visibility, simulates the implementation of technological cycles of spacecraft control, evaluates the parameters of the target equipment, analyzes the characteristics of the antenna system and the layout, conducts experiments and eliminates abnormal situations. It also optimizes the spacecraft testing based on the use of artificial intelligence techniques.

Implementing a cluster-based method for managing solid waste in the coastal zone of the Black Sea

“…Development of a set of software and hardware tools for the analysis of data received from spacecrafts will serve as the basis for the cluster approach to MSW detection and disposal, thus ensuring the speed of obtaining legitimate information about the state of the environment and the correct managerial decisions by the executive branch of the region. This method implies improving the accuracy of determining the sources of pollution remotely [21][22][23][24][25], which is especially important in the development of natural resources of the Black Sea coast and Krasnodar Territory. At the same time one of the main tasks in the field of safe ecological situation in the region is to test the hypothesis of the distribution of multidimensional random variables, assessment of the states of the objects under study and their mapping.…”

“…Module 4 based on control sampling 𝑍 ′ = (𝑛 1 𝑖 , … , 𝑛 𝑘 𝑖 , 𝛿 𝑖 , 𝑖 = 1, 𝑘′) where 𝛿 𝑖 = (𝛿 1 𝑖 , 𝛿 2 𝑖 ) directives for the coordinates of elements of the earth's surface 𝑆 𝑖 characterised by spectral data 𝑛 𝑖 = (𝑛 1 𝑖 , … , 𝑛 𝑘 𝑖 ) assesses the pollution of the Black Sea coastal zone. In conclusion of the method it should be noted that the developed interface of the NAMAPR program allows: to carry out manual control of the initial data received from a remote sensing satellite, their sequential processing and presentation of results [25][26][27][28][29] in solving problems of environmental monitoring, detection of sources of pollution and accumulation of solid waste in the Krasnodar Territory. The cluster method for MSW recycling contains many functions, while forming a complete recycling and disposal cycle [29][30][31][32][33].…”