Abstract
An indirect approach to assessing a pilot’s psychophysiological condition is proposed: in this approach, the current flight characteristics of the airplane are compared with the pilot’s specific confidence set, which reflects the individual’s control behavior in standard flight conditions. An algorithm is outlined for approximating the individual confidence set by a correlation ellipsoid, whose parameters are calculated on the basis of data from semisimulated or flight experiments and from real flights. As an example, this approach is employed to assess the pilot’s psychophysiological condition in landing.
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REFERENCES
Mikryukov, N.V. and Prutskova, D.S., Human factors analysis in aviation accidents of 21st century, 2016. https://portalnp.snauka.ru/2016/05/3430.
Zavalova, N.D., Lomov, B.F., and Ponomarenko, V.A., The principle of an active operator and the distribution of functions between man and machine, Vopr. Psikhol., 1971, no. 3, pp. 3–5.
Beregovoi, G.T., Zavalova, N.D., Lomov, B.F., and Ponomarenko, V.A., Eksperimental’no-psikhologicheskie issledovaniya v aviatsii i kosmonavtike (Experimental and Psychological Studies in Aviation and Cosmonautics), Moscow: Nauka, 1978.
Dobrolenskii, Yu.P., Zavalova, N.D., Ponomarenko, V.A., and Tuvaev, V.A., Metody inzhenerno-psikhologicheskikh issledovanii v aviatsii (Methods of Engineering-Psychological Studies in Aviation), Moscow: Mashinostroenie, 1975.
Zorile, V.I. and Kupriyanov, A.A., Nekotorye psikhofiziologicheskie metody opredeleniya rabotosposobnosti letnogo sostava (Some Psychophysiological Methods for Determination of Efficiency of Flight Personnel), Moscow: Voenizdat, 1981.
Zorile, V.I. and Zorile, V.V., Medical aspects of improvement of the safety of long-term aerobatics flights, Materialy 4-go Vsesoyuznogo simpoziuma “Stress, adaptatsiya i disfunktsii,” 27–28 iyunya 1991, Tezisy dokladov (Proc. Fourth All-Union Symp. “Stress, Adaptation, and Dysfunctions,” June 27–28, 1991, Abstracts of Papers), Chisinau: Akad. Nauk SSSR, 1991, p. 157.
Chernous’ko, F.L., Otsenivanie fazovogo sostoyaniya dinamicheskikh sistem (Evaluation of the Phase State of Dynamic Systems), Moscow: Nauka, 1988.
Boguslavskii, I.A., Prikladnye zadachi fil’tratsii i upravleniya (Applied Tasks in Filtering and Management), Moscow: Nauka, 1983.
Malyshev, V.V. and Kibzun, A.I., Analiz i sintez vysokotochnogo upravleniya letatel’nymi apparatami (Analysis and Synthesis of High-Precision Control of Aircrafts), Moscow: Mashinostroenie, 1987.
Malyshev, V.V., Krasil’shchikov, M.N., and Karlov, V.I., Optimizatsiya nablyudeniya i upravleniya letatel’nykh apparatov (Optimization of Surveillance and Control of Aircrafts), Moscow: Mashinostroenie, 1989.
McRuer, D.T. and Krendel, E.S., Mathematical Models of Human Pilot Behavior: NASA Technical Report AGARD-AG-188, Springfield: Natl. Tech. Inf. Serv., 1974.
Efremov, A.V., Ogloblin, A.V., Predtechenskii, A.N., and Rodchenko, V.V., Letchik kak dinamicheskaya sistema (The Pilot as a Dynamic System), Moscow: Mashinostroenie, 1992.
Efremov, A.V., Sistema samolet-letchik. Zakonomernosti i matematicheskie modeli povedeniya letchika (Airplane-Pilot System. Patterns and Mathematical Models of Pilot Behavior), Moscow: Mosk. Aviats. Inst., 2017.
Byushgens, G.S. and Studnev, R.V., Aerodinamika samoleta: dinamika prodol’nogo i bokovogo dvizheniya (Aircraft Aerodynamics: Longitudinal and Lateral Dynamics), Moscow: Mashinostroenie, 1979.
Jirgl, M., Jalovecky, R., and Bradac, Z., Models of pilot behavior and their use to evaluate the state of pilot training, J. Electr. Eng., 2016, vol. 67, no. 4, pp. 267–272.
Suzuki, S. and Sakamoto, Y., Analysis of human pilot control inputs using neural network, J. Aircraft, 2006, vol. 43, no. 3, pp. 793–798.
Bazlev, D.A., Evdokimenkov, V.N., and Krasil’shchikov, M.N., Construction of characteristic sets for individually adapted pilot support in typical flight regimes, J. Comput. Syst. Sci. Int., 2008, vol. 47, no. 4, pp. 591–602.
Evdokimenkov, V.N., Kim, R.V., and Krasil’shchikov, M.N., Functional-software prototype of a complex for monitoring the technical state of aircraft and its systems during operation, Materialy Pervoi Vserossiiskoi nauchno-prakticheskoi konferentsii “Ustroistva izmereniya, sbora i obrabotki signalov v informatsionno-upravlyayushchikh kompleksakh,” Tezisy dokladov (Proc. First All-Russ. Sci.-Pract. Conf. “Devices for Measurement, Collection, and Processing of Signals in Information Control Complexes,” Abstracts of Papers), Ulyanovsk, 2011, pp. 172–174.
Evdokimenkov, V.N., Krasil’shchikov, M.N., and Sebryakov, G.G., Control and intellectual support of the pilot’s actions during typical flight modes based on an individually adapted approach, Mekhatron., Avtom., Upr., 2014, no. 8, pp. 16–22.
Evdokimenkov, V.N., Dineev, V.G., and Karp, K.A., Inzhenernye metody veroyatnostnogo analiza aviatsionnykh i kosmicheskikh sistem (Engineering in Probabilistic Analysis of Aviation and Space Systems), Moscow: Fizmatlit, 2010.
Evdokimenkov, V.N., Kim, R.V., Voronov, A.A., and Yakimenko, A.V., Evaluation of the state of the closed ergatic airplane-pilot system based on the ellipsoidal model, Materialy XIX Mezhdunarodnoi konferentsii “Sistemnyi analiz, upravlenie i navigatsiya,” Tezisy dokladov (Proc. XIX Int. Conf. “System Analysis, Control, and Navigation,” Abstracts of Papers), Moscow: Mosk. Aviats. Inst., 2014, pp. 62–63.
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Evdokimenkov, V.N., Kim, R.V. Confidence-Based Assessment of Pilot’s Psychophysiological Condition. Russ. Engin. Res. 42, 89–92 (2022). https://doi.org/10.3103/S1068798X22010063
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DOI: https://doi.org/10.3103/S1068798X22010063