Publication detail

Using Simulation Technologies in Aviation for Pilot Behaviour Modelling and Flight Training Assessment

BORIL, J., JIRGL, M., JALOVECKY, R.

Original Title

Using Simulation Technologies in Aviation for Pilot Behaviour Modelling and Flight Training Assessment

Czech Title

Využití simulačních technologií v letectví pro modelování chování pilota a hodnocení výcviku

English Title

Using Simulation Technologies in Aviation for Pilot Behaviour Modelling and Flight Training Assessment

Type

journal article

Language

en

Original 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.

English 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.

Keywords

flight simulators, simulation technologies, pilot training, pilot modelling, human behaviour model, MATLAB®

Released

16.08.2017

Publisher

Advances in Military Technology (AiMT)

Location

Brno

Pages from

147

Pages to

161

Pages count

15

URL

BibTex


@article{BUT138330,
  author="Miroslav {Jirgl}",
  title="Using Simulation Technologies in Aviation for Pilot Behaviour Modelling and Flight Training Assessment",
  annote="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.",
  address="Advances in Military Technology (AiMT)",
  chapter="138330",
  doi="10.3849/aimt.01179",
  howpublished="print",
  institution="Advances in Military Technology (AiMT)",
  number="1",
  volume="12",
  year="2017",
  month="august",
  pages="147--161",
  publisher="Advances in Military Technology (AiMT)",
  type="journal article"
}