Development of Aircraft Armament and Navigation Diagnosis System Based on the Reduced Expert System and Evolutionary Algorithms

The purpose of the article was to study the armament and navigation system of a modern maneuverable aircraft. Within the research, we investigated the problem of monitoring operability and performance of this system. As a result, we developed a control system based on the dynamic expert system and the theory of P. Anokhin functional systems. Moreover, a structure of a reduced dynamic expert system with an intellectual component is proposed. The intellectual component uses an operation acceptor which includes algorithms for estimating and constructing models, predicting and comparing the results. A diagnosis and control system with a recovery function has been developed to preserve the performance of the armament and navigation system, based on a fuzzy expert system and evolutionary algorithms for constructing predictive models

References

[1] George M.S. Aerospace avionics systems: a modern synthesis. Academic Press, 1993. 466 p.

[2] Andrew H.J. Stochastic processes and filtering theory. Dover Publications, 2007. 400 p.

[3] Proletarskiy A.V., Chzho Zin Khtut. Diagnostic system of the board measuring devices. Avto-matizatsiya. Sovremennye tekhnologii [Automation. Modern Technology], 2016, no. 1, pp. 25–28 (in Russ.).

[4] Chzho Zin Khtut, Selezneva M.S., Proletarskiy A.V., Neusypin K.A. Control unit of navigation target acquisition system of aircraft. Avtomatizatsiya. Sovremennye tekhnologii [Automation. Modern Technology], 2017, no. 7, pp. 314–318 (in Russ.).

[5] Rybina G.V., Mozgachev A.V., Shantser D.I., Blokhin Yu.M. Dynamic intelligent systems based on integrated expert systems. Pribory i sistemy. Upravlenie, kontrol, diagnostika [Instruments and Systems: Monitoring, Control, and Diagnostics], 2012, no. 5, pp. 13–20 (in Russ.).

[6] Rybin V.M., Samkharadze T.G., Shcherbakov N.S. Using of dynamic integrated expert systems for intelligent control. Pribory i sistemy. Upravlenie, kontrol, diagnostika [Instruments and Systems: Monitoring, Control, and Diagnostics], 2012, no. 4, pp. 29–32 (in Russ.).

[7] Anokhin P.K. Biology and neurophysiology of the conditioned reflex and its role in adaptive behavior. Pergamon Press, 1974. 592 p.

[8] Neusypin K.A., Proletarsky A.V., Shen Kai, et al. Aircraft self-organization algorithm with redundant trend. Journal of Nanjing University of Science and Technology, 2014, no. 5, pp. 602–607.

[9] Dzhandzhgava G.I., Rogalev A.P., Babichenko A.V., Sukhorukov S.Ya. Integrated dynamically reconfigurable complex information processing system of onboard navigation, control and targeting system. Aviakosmicheskoe priborostroenie [Aerospace Instrument-Making], 2002, no. 6, pp. 8–14 (in Russ.).

[10] Neusypin K.A. System synthesis of the control systems with intellectual component. Avtomatizatsiya. Sovremennye tekhnologii [Automation. Modern Technology], 2007, no. 3, pp. 35–39 (in Russ.).

[11] Shen Kai, Selezneva M.S., Neusypin K.A., Proletarsky A.V. Novel variable structure measurement system with intelligent components for flight vehicles. Metrology and Measurement Systems, 2017, no. 2, pp. 347–356.

[12] Emelyanov V.V., Kureychik V.V., Kureychik V.M. Teoriya i praktika evolyutsionnogo modelirovaniya [Theory and practice of evolutional modeling]. Moscow, Fizmatlit Publ., 2003. 432 p.

[13] Shen Kay, Neusypin K.A. Study of the criteria for the degrees of observability, controllability and identifiability of the linear dynamical systems. Mekhatronika, avtomatizatsiya, upravlenie [Mechatronics, Automation, Control], 2016, no. 11, pp. 723–731.

[14] Selezneva M.S., Shen Kay, Proletarskiy A.V., Neusypin K.A. Dynamic system synthesis of algorithmic support for navigation systems of aircrafts. Pribory i sistemy. Upravlenie, kontrol, diagnostika [Instruments and Systems: Monitoring, Control, and Diagnostics], 2017, no. 2, pp. 36–42 (in Russ.).