The intelligent control system for the technical radio beacons condition of the navigation and landing complex

Author:

Gabrielyan D. D.1,Kostenko P. I.2,Safaryаn O. A.3

Affiliation:

1. Rostov-on-Don Research Institution of Radio Communication

2. Rostov Branch of Moscow State Technical University of Civil Aviation

3. Don State Technical University

Abstract

The article considers the possibility of developing control systems for the technical condition of radio beacons (RB) transmitting channels generators for the airport navigation and landing complex using artificial intelligence systems (AIS). The feature of using AIS to develop the technical control system is integrating a multidimensional likelihood function into the knowledge base. By means of merely measurements of signal phases generated in RB, the given function makes it possible to evaluate:– average frequencies of generated signals in RB;– deviations of average frequencies from the required values throughout the entire observation interval;– random deviations of the current frequency values from the average ones at each measurement interval;– relative frequency instabilities of each of generators.The results obtained and their variation over the time allow us to carry out:– monitoring the technical condition of RB channels generators;– diagnostics of the technical condition of RB channels generators;– forecasting the technical condition of RB channels generators and making a decision concerning the status of the controlled generators according to the CORRECT OPERATION-DETERIORATION-FAILURE criterion.

Publisher

Moscow State Institute of Civil Aviation

Subject

General Medicine

Reference21 articles.

1. Bеkhter, A.T. (2021). Aeronautical equipment maintenance system engineering and management efficiency assessment methodology. Trudy GosNIIAS. Seriya: Voprosy avioniki, no. 2 (53), p. 34‒40. (in Russian)

2. Osipov, D.V. and Churikova, O.O. (2020). Automation and artificial intelligence in transport: development trends. Trendy ekonomicheskogo razvitiya transportnogo kompleksa Rossii: forsayt, prognozy i strategii: sbornik nauchnykh trudov natsionalnoy nauchno-prakticheskoy konferentsii [Trends in the economic development of the Russian transport complex: foresight, forecasts and strategies: proceedings of the national scientific and practical conference]. Moscow: INFRA-M, p. 179‒181. (in Russian)

3. Voitovich, N.I. and Zhdanov, B.V. (2011). Method for flight inspection of ground-based radio flight support equipment and apparatus for realising said method. Patent RU, no. 2501031 С2, December 10, 2013. (in Russian)

4. Goncharenko, V.I., Rozhnov, A.V. and Teplov, G.I. (2018). Planirovaniye i koordinatsiya marshrutov poleta bespilotnykh aviatsionnykh sistem v interesakh organizatsii i otsenki kachestva sistem podvizhnoy svyazi [Planning and coordination of flight routes for unmanned aircraft systems in the interests of organizing and evaluating the quality of mobile communication systems]. Raspredelennyye kompyuternyye i telekommunikatsionnyye seti: upravleniye, vychisleniye, svyaz (DCCN-2018): materialy XXI Mezhdunarodnoy nauchno-prakticheskoy konferentsii [Distributed computer and telecommunication networks: control, computing, communication (DCCN-2018): materials of the XXI International Scientific and Practical Conference]. Moscow, p. 220‒229. (in Russian)

5. Yashin, A.I., Budko, P.A., Vinogradenko, A.M. and Pedan, A.V. (2018). Simulation of an automated system for monitoring of the technical state of distributed radio centers. Morskaya Radioelektronika, no. 1 (63). p. 32‒37. (in Russian)

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