Development of Vertical Movement Controller for Multirotor UAVs

Ga̧sior, Przemysław; Bondyra, Adam; Gardecki, Stanisław

doi:10.1007/978-3-319-54042-9_31

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…In [20] Koppány Máthé and Lucian Buşoniu basically explain the functioning of a drone. UAV movement recognition is studied in [10]. Automatic landing on target is described in [17] and monitoring and conservation are dealt with in [11].…”

Section: Introductionmentioning

confidence: 99%

Parametric Statistical Model Checking of UAV Flight Plan

Bao

Attiogbé

Delahaye

et al. 2019

Formal Techniques for Distributed Objects, Components, and Systems

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Unmanned Aerial Vehicles (UAV) are now widespread in our society and are often used in a context where they can put people at risk. Studying their reliability, in particular in the context of flight above a crowd, thus becomes a necessity. In this paper, we study the modeling and analysis of UAV in the context of their flight plan. To this purpose, we build a parametric probabilistic model of the UAV and use it, as well as a given flight plan, in order to model its trajectory. This model takes into account parameters such as potential filter or sensor (like GPS) failure as well as wind force and direction. Because of the nature and complexity of the successive obtained models, their exact verification using tools such as PRISM or PARAM is impossible. We therefore develop a new approximation method, called Parametric Statistical Model Checking, in order to compute failure probabilities. This method has been implemented in a prototype tool, which we use to resolve complex issues in a practical case study.

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