Review of pilot models used in aircraft flight dynamics

Lone, Mudassir; Cooke, Alastair

doi:10.1016/j.ast.2014.02.003

Cited by 60 publications

(25 citation statements)

References 43 publications

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“…This corresponds to the maximum stiffness in the neuromuscular system and shows that it is achieved in a position task. Similar conclusions were also reported in [23], accompanied by the observation that the body 'stiffens' during urgent tracking tasks. The variability of pilot biodynamics can be therefore characterized with pilot attitudes that can be qualified as 'stiffer' in the case of stressful, high gain tracking tasks or 'relaxed' when the pilot's workload is lower.…”

Section: Human Pilot Biodynamics Modelingsupporting

confidence: 88%

Understanding pilot biodynamical feedthrough coupling in helicopter adverse roll axis instability via lateral cyclic feedback control

Tod

Pavel

Malburet

et al. 2016

Aerospace Science and Technology

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. This is an author-deposited version published in: https://sam.ensam.eu Handle IDThe paper reassesses the mechanism of biodynamical feedthrough coupling to helicopter body motion in lateral-roll helicopter tasks. An analytical bio-aeroelastic pilot-vehicle model is first developed and tested for various pilot's neuromuscular adaptions in the lateral/roll axis helicopter tasks. The results demonstrate that pilot can destabilize the low-frequency regressing lead-lag rotor mode; however he/she is destabilizing also the high-frequency advancing lag rotor mode. The mechanism of pilot destabilization involves three vicious energy circles, i.e. lateral-roll, flap-roll and flap-lag motions, in a very similar manner as in the air resonance phenomenon. For both modes, the destabilization is very sensitive to an increase of the steady state rotor coning angle that increases the energy transfers from flap to lag motion through Coriolis forces. The analytical linear time-invariant model developed in this paper can be also used to investigate designs proneness to lateral/roll aeroelastic rotorcraft-pilot couplings.

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Section: Human Pilot Biodynamics Modelingsupporting

confidence: 88%

Understanding pilot biodynamical feedthrough coupling in helicopter adverse roll axis instability via lateral cyclic feedback control

Tod

Pavel

Malburet

et al. 2016

Aerospace Science and Technology

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“…is not yet fully characterized and in literature there is no clear agreement on how this remnant should be modeled and accounted for in Monte Carlo simulations. 6,7,[28][29][30] Here, remnant is modeled as a zero-mean Gaussian white-noise signal n w (t), with unit variance, passed through a low-pass filter. The following mth-order remnant-filter structure is considered:…”

Section: Ivb Parameter Variations and Conditionsmentioning

confidence: 99%

Identification of Time-Varying Manual Control Adaptations with Recursive ARX Models

Grootheest

Pool

Paassen

2018

2018 AIAA Modeling and Simulation Technologies Conference

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“…A similar situation also applies to pure derivation. Based on this knowledge, general models were created, out of which the following formula (2) is the most used [6,9].…”

Section: Fig 1 Man-machine System As a Control Loopmentioning

confidence: 99%

Using Aviation Simulation Technologies for Pilot Modelling and Flight Training Assessment

Bořil

Jirgl

Jalovecky

2017

AiMT

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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.

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Review of pilot models used in aircraft flight dynamics

Cited by 60 publications

References 43 publications

Understanding pilot biodynamical feedthrough coupling in helicopter adverse roll axis instability via lateral cyclic feedback control

Understanding pilot biodynamical feedthrough coupling in helicopter adverse roll axis instability via lateral cyclic feedback control

Identification of Time-Varying Manual Control Adaptations with Recursive ARX Models

Using Aviation Simulation Technologies for Pilot Modelling and Flight Training Assessment

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