Abstract
It is proposed to increase the degree of flight safety of aircraft based on the use of an onboard control system using approaches to build cyber-physical systems. For this purpose, an algorithm for countering the threat of an accident has been developed, which is implemented in a decision support device. This device is the main element of the flight safety control system of the aircraft and represents a dynamic expert system. The device provides the formation of recommendations for the crew to parry the accident. For this purpose, information on changes in the values of the input variables affecting the flight safety of the aircraft in time, as well as the psychophysical condition of the crew members, the technical condition of the control object, external factors, as well as the forecast of changes in flight conditions is used. The set of decision support rules is evaluated for completeness and absence of data inconsistency. Computer simulation of the algorithm, combined with the evaluation of a set of rules for decision support, allowed to confirm its performance. The research results should be used in the development of flight safety control systems for aircraft.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Popov, Y.V.: The safety indicators for aviation flights. Internet-J. Technol. Techno Field Secur. 6(58) (2014) (in Russian)
Sapogov, V.A., Anisimov, K.S., Novozhilov, A.V.: Fail-safe computer system for complex of aircraft flight control systems. Electron. J. Proc. MAI 45 (2008) (in Russian)
Glubokay, M.D.: Onboard decision support system at the take-off stage of the passenger aircraft. Air Fleet Technol. LXXXII 1(690), 21–30 (2008) (in Russian)
Shevchenko, A.M., Nachinkina, G.N., Solonnikov, Y.I.: Modeling of information support of the pilot on the take-off phase of the aircraft. Proc. Moscow Inst. Electromech. Autom. (MIEA) 5, 54–64 (2012) (in Russian)
Suholitko, V.A.: Way to support the operator in dangerous situations. The patent for the invention RF No. 220544 G05D 1/00. 2017 (2017) (in Russian)
Lee, E.A.: The past, present and future of cyber-physical systems: a focus on models. Sensors (Basel) 15(3), 4837–4869 (2015). Published online 2015 Feb 26. https://doi.org/10.3390/s150304837. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4435108/
Luxhoj, J.T., Williams, T.P.: Integrated decision support for aviation safety inspectors. Finite Elem. Anal. Des. 23, 381–403 (1996)
Khaitan, et al.: Design techniques and application of cyber physical systems: a survey. IEEE Syst. J. (2014)
Lee, E.A., Seshia, S.A.: Introduction to Embedded Systems—A Cyber-Physical Systems Approach. LeeSeshia.org 2011 (2011)
Fawzi, H., Tabuada, P., Diggavi, S.: Secure estimation and control for cyber-physical systems under adversarial attacks. IEEE Trans. Autom. Control (2014)
Wolf, W.: Cyber-physical system. Computer 3, 88–89 (2009)
Crop: a cyber-physical system architecture model in the field of precision agriculture. In: Conference Agriculture for Life, Life for Agriculture, vol. 6, pp. 73–79
Lee, J., Bagheri, B., Kao, H.-A.: A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manuf. Lett. 3, 18–23 (2015). https://doi.org/10.1016/j.mfglet.2014.12.001
Chuprynousky, V.P., Namiot, D.E., Sinyakov, S.A.: A cyber-physical system as the basis for the digital economy. Int. J. Open Inf. Technol. 4(2), 18–25 (2016). ISSN: 2307-8162 (in Russian)
Bolshakov, A.A., Kulik, A.A., Sergushov, I.V., Skripal, E.N.: Method of aircraft accident prediction. Mechatron. Autom. Control 19(6), 416–423 (2018) (in Russian)
Fedunov, B.E., Prokhorov, M.D.: Conclusion on precedent in knowledge bases of onboard intelligent systems. Artif. Intell. Decis.-Making 3, 63–72 (2010) (in Russian)
Kosko, B.: Fuzzy systems as universal approximators. IEEE Trans. Comput. 43(11), 1329–1333 (1994)
Cordon, O., Herrera, F.A.: General study on genetic fuzzy systems. Genetic Algorithms in Engineering and Computer Science, pp. 33–57 (1995)
Veshneva, I.V., Chistyakova, T.B., Bolshakov, A.A.: The status functions method for processing and interpretation of the measurement data of interactions in the educational environment. SPIIRAS Proc. 6(49), 144–166 (2016)
Averchenkov, V., Miroshnikov, V., Podvesovsky, A., Korostelyov, D.: Fuzzy and hierarchical models for decision support in software systems implementation, pp. 410–422. Knowledge-Based Software Engineering. Springer (2014)
Veshneva, I.V., Chistjakova, T.B., Bol’shakov, A.A., Singatulin, R.A.: Model of formation of the feedback channel within ergatic systems for monitoring of quality of processes of formation of personnel competences. Int. J. Qual. Res. 9(3), 495–512 (2015)
Denisov, M., Kozin A., Kamaev, V., Davydova, S.: Solution on decision support in determining of repair action using fuzzy logic and agent system. Knowledge-Based Software Engineering, pp. 433–541. Springer (2014)
Veshneva, I., Bolshakov, A., Kulik, A.: Increasing the safety of flights with the use of mathematical model based on status functions. In: Dolinina, O., et al. (eds.) ICIT 2019, SSDC 199, pp. 608–621. Springer (2019). https://doi.org/10.1007/978-3-030-12072-6_49
Protalinski, O.M.: Application of Artificial Intelligence Techniques in the Automation of Technological Processes: Monograph, 183 p. Publishing House of ASTU, Astrakhan (2004) (in Russian)
Bolshakov, A.A., Sergushov, I.V., Skripal, E.N.: Intelligent method for assessing the threat of an accident. Bull. Comput. Inf. Technol. 5(167), 3–9 (2018) (in Russian)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Bolshakov, A.A., Kulik, A., Sergushov, I., Scripal, E. (2020). Decision Support Algorithm for Parrying the Threat of an Accident. In: Kravets, A., Bolshakov, A., Shcherbakov, M. (eds) Cyber-Physical Systems: Industry 4.0 Challenges. Studies in Systems, Decision and Control, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-030-32648-7_19
Download citation
DOI: https://doi.org/10.1007/978-3-030-32648-7_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32647-0
Online ISBN: 978-3-030-32648-7
eBook Packages: EngineeringEngineering (R0)