Algorithm of a Device Designed to Support Decision Making to Counter the Threat of an Aviation Accident

An algorithm for countering the threat of an aviation accident is proposed. It is realized in a decision-making support device, which is the main element of the aircraft flight safety control system and appears to be a dynamic expert system. A feature of the proposed device is generation of recommendations to a pilot to get out of an aviation accident upon identifying significant variation in time of the input variables affecting the aircraft flight safety based on information about psychophysical state of the pilot, technical conditions of the control object, external influencing factors, as well as forecast of alterations in the flight conditions. A corresponding block diagram is provided to describe the aircraft flight safety control system. An algorithm to support decision making by the crew is constructed making it possible to generate recommendations for the pilot and signals to the control system to increase the aircraft safety level. The set of decision-making support rules is evaluated for completeness and absence of data inconsistency. Numerical simulation of the algorithm operation accompanied by evaluation of the set of decision-making support rules confirmed its operating capability. Results obtained could be introduced in development of the aircraft flight safety control systems

Литература

[1] Popov Yu.V. Safety indicators of aviation flights. Tekhnologii tekhnosfernoy bezopasnosti [Technology of Technosphere Safety], 2014, no. 6 (in Russ.). Available at: http://agps-2006.narod.ru/ttb/2014-6/10-06-14.ttb.pdf

[2] Sapogov V.A., Anisimov K.S., Novozhilov A.V. Fail-safe computer engine for complex systems of aircraft flight control. Trudy MAI, 2010, no. 45 (in Russ.). Available at: https://mai.ru/upload/iblock/4e6/otkazobezopasnaya-vychislitelnaya-sistema-dlya-kompleksnykh-sistem-upravleniya-polyetom-letatelnykh-apparatov.pdf

[3] Glubokaya M.G. Onboard maintenance system for decision-making at the stage of passenger aircraft take-off. Tekhnika vozdushnogo flota, 2008, no. 1, pp. 21--30 (in Russ.).

[4] Shevchenko A.M., Nachinkina G.N., Solonnikov Yu.I. Modeling of the pilot information support tools at the aircraft takeoff stage. Trudy MIEA, 2012, no. 5, pp. 54--64 (in Russ.).

[5] Sinitskiy A. Technology for aircraft rolling-off precaution. ato.ru: website. Available at: http://www.ato.ru/content/tehnologii-dlya-preduprezhdeniya-vykatyvaniya-vozdushnogo-sudna-za-predely-vpp (accessed: 20.05.2021) (in Russ.).

[6] Sukholitko V.A. Sposob podderzhki operatora v opasnykh situatsiyakh [Method of support of flying vehicle operator in dangerous situations]. Patent RU 2205442. Appl. 02.10.2001, publ. 27.05.2003 (in Russ.).

[7] Berestov L.M., Kharin E.G., Yakushev A.F., et al. Avtomatizirovannaya vysokointellektual'naya sistema obespecheniya bezopasnosti poleta letatel’nogo apparata [Automated high-intelligent system for aircraft flight safety providing]. Patent RU 2339547. Appl. 27.03.2003, publ. 20.01.2009 (in Russ.).

[8] Clothier R.A., Walker R.A. The safety risk management of unmanned aircraft. In: Handbook of unmanned aerial vehicles. Springer, 2014, pp. 2229--2275.

[9] Luxhoj J.T., Williams T.P. Integrated decision support for aviation safety inspectors. Finite Elem. Anal. Des., 1996, vol. 23, no. 2-4, pp. 381--403. DOI: https://doi.org/10.1016/S0168-874X(96)80018-7

[10] Bolshakov A.A., Kulik A.A., Sergushov I.V., et al. Design the method for aircraft accident of prediction. Mekhatronika, avtomatizatsiya, upravlenie, 2018, vol. 19, no. 6, pp. 416--423 (in Russ.). DOI: https://doi.org/10.17587/mau.19.416-423

[11] Bolshakov A.A., Kulik A.A., Sergushov I.V., et al. Aviation accident threat intelligent assessment method. Vestnik komp’yuternykh i informatsionnykh tekhnologiy [Herald of Computer and Information Technologies], 2018, no. 5, pp. 3--9 (in Russ.). DOI: https://doi.org/10.14489/vkit.2018.05.pp.003-009

[12] Prokhorov M.D., Fedunov B.E. Case-based conclusion in data base of onboard intellectual systems. Iskusstvennyy intellekt i prinyatie resheniy [Artificial Intelligence and Decision Making], 2010, no. 3, pp. 63--72 (in Russ.).

[13] Bolshakov A.A., Kulik A.A., Sergushov I.V. Development the control system algorithms functioning of flight safety for the aircraft of helicopter type. Izvestiya Samarskogo nauchnogo tsentra RAN [Izvestia RAS SamSC], 2016, vol. 18, no. 1-2, pp. 358--362 (in Russ.).

[14] Kuklev E.A. Flight safety control of the basis of uncertain risk evaluation with non-routine flight conditions involved. Nauchnyy vestnik MGTU GA [Civil Aviation High Technologies], 2016, no. 226, pp. 199--205 (in Russ.).

[15] Protalinskiy O.M. Primenenie metodov iskusstvennogo intellekta pri avtomatizatsii tekhnologicheskikh protsessov [Using artificial intelligence methods at automation of technological processes]. Astrakhan, AGTU Publ., 2004.