Abstract

This paper summarises many years of the results of the development and modelling of human behaviour while flying an aircraft, from a flight automation point of view. The introduction presents the challenges of describing and modelling human behaviour. Based on that knowledge, options for acquiring parameters for a pilot behaviour model are described. Then, analysis of pilot response is presented, acquired from many tests on two simulators (stationary and motion-platform). These experimental tests are pilot responses to a visual stimulus and also partially to motion stimulus - step change in flight altitude where the task of the pilot is to return the flight, as quickly as possible to the original flight altitude. Due to the vast amount of test data files - missions from each test - the authors rewrote the identification algorithms for batch data processing and utilised a Salamon supercomputer located at Technical University of Ostrava. In the first phase of implementation of the identification algorithms, the calculations were 4 times faster, and after rewriting the algorithms for parallel calculations, the authors expect the speed to increase more than 10 times.

Highlights

  • Simulation technologies and training on simulators are spreading across the world

  • Modern simulation technologies used for flight simulators and for modelling realistic combat situations are utilised in NATO to increase their military staff training quality, productivity and effectivity

  • After comparing the resultant transfer function parameter ranges listed next to the graphs Fig. 4 – Fig. 7, with theoretical ranges of time constants, it can be said that it is possible to reach a realistic model of pilot behaviour via simulations

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Summary

Introduction

Simulation technologies and training on simulators are spreading across the world. Natural infiltration of simulation technologies into a wide range of scientific fields and. Modern simulation technologies used for flight simulators and for modelling realistic combat situations are utilised in NATO to increase their military staff training quality, productivity and effectivity. From the transfer function parameters, and depending on the amount of pilots tested, practical time constant limits of the pilot behaviour model were calculated representing the training levels of the pilots. Research into this topic is supported by the Czech Republic Technological Agency Project and 2 doctoral theses were created during this research [3, 4], describing this topic in detail

Human Behaviour Modelling
Flight Simulator Used for Testing Pilots
Options of Mathematical Analysis for Human Behaviour while Flying an Aircraft
Testing Pilots with Different Flying Experience
Pilots without Previous Experience
Pilot Experienced in Flying on Flight Simulators and in Gliding
Pilots with Practical Experience on Z‐142CAF
Pilot Training Level Assessment
Method Based on Modelling Human Behaviour
Method Based on Crossover Frequency
Findings
Conclusion
Full Text
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