S.F. Boev - Dr.Sc. (Eng.), Dr.Sc. (Econ.), JSC «Academician A.L. Mints Radiotechnical Institute» (Moscow) A.P. Linkevichius - Ph.D. (Eng.), Associate Professor, JSC «Academician A.L. Mints Radiotechnical Institute» (Moscow)

This paper proposes a method for developing the optimal set of control and management the technical condition of AESA. Modern AESA are, in fact, «smart» radio information systems, hence it is necessary to develop new approaches to the management of their technical condition and operation based on the radar computing capabilities and on control "big data" received in real-time from AESA sensors and General Designer Stand. Accordingly, it becomes possible to construct such a system which will maintain AESA operability based on the analysis of these data with a minimum number of incidents and shutdowns for repairs and restoration. The development of optimal composition and structure of this system is proposed to implement with the control method of radar system creation based on risk model which grew rapidly in recent years in the design and operation of a new generation of radar systems. Joint usage of built-in control system with AESA and General Designer Stand allows to continuously monitor the technical parameters of radar in real time. In addition, based on the selected risk model, is performed the calculation of AESA reliability characteristics, that is, the probability of failure-free operation at a specified time interval and the availability ratio. As a result, such monitoring and management complex becomes automated information and computational decision support system while the large-aperture AESA operation that allows to keep them in good technical condition and high reliability characteristics, reduces maintenance costs and eventually, to extend the AESA uptime resource. The advantage of the high-precision control and the operative management of the AESA technical state adaptive complex is its universality allows to use on stages of the AESA creation and on the stages of its operation. In addition, the usage of intellectual computing system of control and management of the AESA technical state allows to consider the features and benefits of adaptive maintenance while the modernization of the General Designer Stand, and the development of new radar generations.

 

1. Boev S.F., Rakhmanov A.A., Sloka V.K. Sistema modulno-parametricheskogo proektirovanija radiolokacionnykh stancijj dalnego obnaruzhenija novogo pokolenija. M.: Stolichnaja ehnciklopedija. 2015. S. 561-578.
2. SHishov JU.A., Golik A.M., Klejjmenov JU.A., Bakharev V.A., Demochko S.JU. Adaptacija upravlenija FAR po rezultatam vstroennogo kontrolja // Zarubezhnaja radioehlektronika. 1990. № 9. S. 69-89.
3. GOST R 27.002-2089. Nadezhnost v tekhnike. Terminy i opredelenija. 2011.
4. Montgomery D.C. Design and Analysis of Experiments. 5th ed. New York. John Wiley & Sons. 2001.
5. Boev S.F., Rakhmanov A.A., Sloka V.K. Principy i podkhody k proektirovaniju i sozdaniju RLS dalnego obnaruzhenija novogo pokolenija // Sb. materialov 9-jj Vseross. nauch.-praktich. konf. «Perspektivnye sistemy i zadachi upravlenija». 2014. S. 5-7.
6. Boev S.F., Kazancev A.M., Pankratov V.A., Dembickijj D.N., Petrakov A.M. Sobytijjnaja model ocenki riskov sozdanija RLS DO // Vestnik MAI. 2015. T. 22. № 1.
7. CHerkesov G.N. Nadezhnost apparatno-programmnykh kompleksov: Ucheb. posobie. SPb: Piter. 2005. 479 s.
8. Viktorova V.S., Stepanjanc A.S. Modeli i metody rascheta nadezhnosti tekhnicheskikh sistem. 2016. 256 s.