Dynamic Reconfiguration of a Distributed Information-Computer Network of an aircraft

Solovyov, Andrey M.; Kanishcheva, Olesya I.; Selvesyuk, N. I.; Kos'yanchuk, V. V.; Zybin, E. Yu.; Glasov, V. V.

doi:10.1007/978-3-030-95494-9_10

Cited by 3 publications

(1 citation statement)

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“…Let us consider one of the possible applications of the UNC as a coprocessor for an expert decision support system which reconfigures the avionics suit in emergency situations. We assume that the avionics suit is based on the principles of distributed modular avionics whose compute nodes are connected via an on-board all-optical network [29].…”

Section: Application Of the Uncmentioning

confidence: 99%

A Model of a Universal Neural Computer with Hysteresis Dynamics for Avionics Problems

et al. 2022

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The paper proposes a method for implementing a universal neural network processor with hysteresis dynamics. This processor allows a wide range of heterogeneous tasks in real time to be performed without reprogramming and changing their internal structure. Adding hysteresis behavior to the system makes it possible to increase resistance to external influences, the complexity as well as non-linearity of intelligent output. The paper discusses the use of this processor as part of an on-board intelligent avionics system.

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Section: Application Of the Uncmentioning

confidence: 99%

A Model of a Universal Neural Computer with Hysteresis Dynamics for Avionics Problems

et al. 2022

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Real-time optical network in avionics applications

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Selvesyuk

Zybin

et al. 2023

Modeling of Systems and Processes

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This study analyzes existing approaches to building fault-tolerant onboard systems at the hardware and software levels. The main advantages of constructing an Avionics Integrated Vehicle System (AIVS) based on fiber optic components are considered, particularly for deploying a Unified Intelligent System (UIS) that provides intelligent decision-making in case of abnormal situations. Scenarios for countering various abnormal situations at different levels of aircraft equipment complex (AEC) operation are developed, aiming to enhance the fault tolerance of its systems and, consequently, flight safety as a whole. Algorithms for reconfiguring the AIVS in case of abnormal situations, both during flight and on the ground, are devised. Principles for creating a specialized knowledge base for information support (KBIS) based on operational documentation are proposed. Logical programming methods are employed to simplify the formalization of knowledge stored in the KBIS and to facilitate modification and supplementation of the KBIS with new data. Calculation methodologies for AIVS configuration characteristics based on the KBIS are developed. Dynamic synthesis methods for generating new AIVS configurations are designed to address abnormal situations arising during aircraft operation. State space information formalized using logical programming methods is used to solve the synthesis problem. A complete system graph is constructed considering its redundancy, and a search-synthesis for the most suitable AIVS architecture capable of countering failures is performed.

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A Design Concept of an Intelligent Onboard Computer Network

et al. 2023

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The article suggests design principles of an advanced onboard computer network with an intelligent control system. It describes the main advantages of designing an onboard computer network based on fibre optics, which allows the implementation of an integrated intellectual system performing intelligent inference in emergency situations. The suggested principles significantly increase the reliability and fault tolerance of avionics suits, which, in turn, enhances flight safety. The suggested concept aims to solve a number of important problems including the design of a switchless computing environment, the development of the methods for dynamic reconfiguration of avionics suits with such an environment, and the implementation of a specialised multilevel intelligent avionics system within this environment.

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Dynamic Reconfiguration of a Distributed Information-Computer Network of an aircraft

Cited by 3 publications

References 10 publications

A Model of a Universal Neural Computer with Hysteresis Dynamics for Avionics Problems

A Model of a Universal Neural Computer with Hysteresis Dynamics for Avionics Problems

Real-time optical network in avionics applications

A Design Concept of an Intelligent Onboard Computer Network

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