Aircraft Status Supervision System Concept

Narkiewicz, J.; Żugaj, Marcin; Kopyt, Antoni; Topczewski, Sebastian

doi:10.1061/(asce)as.1943-5525.0000772

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Thus, overcoming this problem was a subject of research (Żugaj 2017). Similar systems that constantly monitor and react to various types of malfunctions are strongly developed around the world (Abdi and Labib 2003;Chen and Zhang 2012;Narkiewicz et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Pilot Interaction with the Control Adapting System for UAV

Kopyt

Żugaj

2020

J. Aerosp. Eng.

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The control surfaces failures significantly reduce the maneuverability of the aircraft. The problem may appear in every flying platform, and its consequences can lead to a serious accident. To counteract the aircraft's lower maneuverability, the adaptive system could be added. That is why, a reconfiguration of unmanned aircraft flight control system was a subject of research project. The developed system uses the other control surfaces and engine to take over scope of stuck control surface. One of the system validation test involved human operators to recognize their reactions while the system is active. The test was performed with the use of an unmanned aerial vehicle (UAV) flight simulator with implemented reconfiguration algorithm. The paper presents the results of an experiment during which the various configuration and failures were tested. A group of UAVoperators repeated a simple maneuver task-slalom, under different failure settings. To assess the system and operators' workload during the test, a subjective assessment was done. The Cooper-Harper, Bedford scales, and overall workload questionnaires were used. To get a full spectrum of the operators' responses to the reconfiguration system, the objective evaluation was also done. The UAV flight parameters (velocities, accelerations, and position) were registered automatically during the flight tests. Based on those data, the quality index of each flight was generated, providing the objective flight performance assessment.

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Section: Introductionmentioning

confidence: 99%

Analysis of Pilot Interaction with the Control Adapting System for UAV

Kopyt

Żugaj

2020

J. Aerosp. Eng.

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“…Therefore, it is less expected that radar-vectoring or go-around will be required due to too low separation. This concept could also contribute to the Aicraft Supervision System Concept [5] that assesses overall external and internal aircraft status. Implementation of this approach requires detailed analysis of past air traffic and study of wide range of possible scenarios, with a focus on separations between aircraft.…”

Section: Introductionmentioning

confidence: 99%

Arrival Traffic Separations Modelling By Using Continuous Probability Distributions

Pawełek

Lichota

2019

MATEC Web Conf.

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This article presents a method that allows to analyze selected aspects of past arrival traffic by modelling distributions of time separations of arriving aircraft in a chosen navigationpoint of Terminal Manoeuvring Area with the use of continuous probability distributions. Modelling arriving aircraft time separations distribution with continuous probability density functions allows to apply various mathematical tools to analyze separations distributions. Moreover, by comparing distributions parameters, quantitative analysis of separations for days with various arrival traffic intensity can be performed. Assumptions, mathematical model, application in the exemplary experimental scenario with an airport and days with low and high traffic intensity, and results are presented in this article. Real air traffic data was used for the experimental scenario. Outcomes show that the method can be used for air traffic post-analysis, e.g assessment of maintaining separation.

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Aircraft Status Supervision System Concept

Cited by 2 publications

References 9 publications

Analysis of Pilot Interaction with the Control Adapting System for UAV

Analysis of Pilot Interaction with the Control Adapting System for UAV

Arrival Traffic Separations Modelling By Using Continuous Probability Distributions

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