The Development of Individually-adapted Neural Network Model of 'Pilot-aircraft' System Using Modern Aircraft Simulation Facility
| Autor: | A.M. Nabatchikov, R.V. Kim, A.A. Jatsko, V.A. Yakimenko, E.A. Burlak |
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| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Artificial neural network Computer science 010102 general mathematics Control (management) Mode (statistics) ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology 01 natural sciences Flight simulator Moment (mathematics) Precision approach radar 020901 industrial engineering & automation General Earth and Planetary Sciences 0101 mathematics Simulation General Environmental Science |
| Zdroj: | Procedia Computer Science. 103:148-154 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2017.01.037 |
| Popis: | The results of the study of the individual characteristics of pilots control actions in landing mode are presented. The study was carried out with the use of MiG-AT aircraft simulation facility. It is shown that the pilot inherent individual style of controlling aircraft in landing mode can be described with the individually adapted neural network model. This model for any moment of performing landing mode is specific to the pilot and presents correlation between the current state vector of pilot-aircraft system and predicted aircraft deviation from the Ideal landing coordinates. The simulation of landing trajectories on MiG-AT aircraft simulation facility was performed with the assistance of a group of operators who had different experience and qualifications. The results of these studies suggest that a particular characteristic of the pilot to control the aircraft in landing mode is uniquely manifested in the architecture of the neural network, the values of its parameters and the composition of the input signals. |
| Databáze: | OpenAIRE |
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