Modelling of the UAV Safety Manoeuvre for the Air Insertion Operations

Mazal, Jan; Stodola, Petr; Procházka, Dalibor; Kutěj, Libor; ŠăźUrek, Radomír; Procházka, Josef

doi:10.1007/978-3-319-47605-6_27

Cited by 17 publications

(7 citation statements)

References 4 publications

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“…After a publication analyses, before this paper was written, it could be mentioned, that majority of the papers dedicated to the Air maneuverer optimization area fell to the several sub-topical segments, mainly swarming and formation optimization, many of them are close to the air traffic control tasks, problems related to the traveling salesman problem (TSP) or optimization in collision avoidance, for instance: [1,2,3,4,5,6]. Very few papers were found, which are close to the operational optimization like: [10,11,12], especially in more complex and multi criteria context, when the operational situation is considered.…”

Section: State Of the Artmentioning

confidence: 99%

“…Following solution is an continuum or more "operational " extension to the solution of "Modelling of the UAV safety manoeuvre for the air insertion operations" published in 2016 [11], what was more "tactically oriented" and initial parameters like destination point and UAV take-off point was known.…”

Section: Approach To the Solutionmentioning

confidence: 99%

“…Whole solution is rather complicated, consists of several thousand lines of C++ code, so the detailed description fells out of the frame of this article, in any case following scheme on figure 2., and generally describes the core procedures/parts of the solution algorithm: For example of application of individual analyses were used following Geooperational analyses, similarly as in the reference published in 2016 [11]:…”

Section: Approach To the Solutionmentioning

confidence: 99%

See 2 more Smart Citations

Modelling and Optimization of the Air Operational Manoeuvre

Bruzzone

Procházka

Kutěj

et al. 2019

Modelling and Simulation for Autonomous Systems

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Increasing complexity of the operational environment and advanced technology implementation in combat will probably lead to a serious limitation of human performance in all operational domains and activities in the future. With except of the clear indications, that tactical robotics will outperform human soldiers in many routine tasks on the battlefield, the area of operational decision making (resistible for decades to some automation) seems to be slowly approaching to the same stage. Presented article discusses the fundamental theory of optimization of the air operational maneuver and present the approach to the solution. The solution is highly theoretical and uses a modelling and simulation as an experimental platform to the visualization and evaluation of solution. The problem of air operational maneuver is specific in this case by many variables imposed on initial parametrization of the task (starting and destination point could not be known at the beginning, only "air operational" area should be selected) and very wide search of possible courses of action and the best "multi criteria" choice identification.

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Section: State Of the Artmentioning

confidence: 99%

Section: Approach To the Solutionmentioning

confidence: 99%

Section: Approach To the Solutionmentioning

confidence: 99%

See 1 more Smart Citation

Modelling and Optimization of the Air Operational Manoeuvre

Bruzzone

Procházka

Kutěj

et al. 2019

Modelling and Simulation for Autonomous Systems

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“…A commander is supposed to use this system, if there is a model compatible with his/her mission, to plan and execute this mission in the optimal or near optimal manner; this depends on the selected optimization criterion. This topic is covered in detail in literature [3,4,5,6,7,8].…”

Section: Introductionmentioning

confidence: 99%

Cooperative Unmanned Aerial System Reconnaissance in a Complex Urban Environment and Uneven Terrain

Stodola

Drozd

Mazal

et al. 2019

Sensors

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Using unmanned robotic systems in military operations such as reconnaissance or surveillance, as well as in many civil applications, is common practice. In this article, the problem of monitoring the specified area of interest by a fleet of unmanned aerial systems is examined. The monitoring is planned via the Cooperative Aerial Model, which deploys a number of waypoints in the area; these waypoints are visited successively by unmanned systems. The original model proposed in the past assumed that the area to be explored is perfectly flat. A new formulation of this model is introduced in this article so that the model can be used in a complex environment with uneven terrain and/or with many obstacles, which may occlude some parts of the area of interest. The optimization algorithm based on the simulated annealing principles is proposed for positioning of waypoints to cover as large an area as possible. A set of scenarios has been designed to verify and evaluate the proposed approach. The key experiments are aimed at finding the minimum number of waypoints needed to explore at least the minimum requested portion of the area. Furthermore, the results are compared to the algorithm based on the lawnmower pattern.

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“…Various mathematical methods have recently been applied to investigate several cases related to the contemporary science [1] and technology [2][3][4]. Computational Fluid Dynamics (CFD) is one of such methods and its application as a research tool is common in various industries including automotive [5] and [6], civil-engineering [7][8][9][10][11], power engineering [12,13] and others [14].…”

Section: Introductionmentioning

confidence: 99%

The influence of computational domain discretization on CFD results concerning aerodynamics of a vehicle

Sosnowski¹

2018

J. Appl. Math. Comput. Mech.

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Abstract. The paper presents research concerning the influence of computational domain discretization on the results of CFD analysis. Tetrahedral and polyhedral numerical mesh types are analyzed and the mesh convergence index is calculated. The obtained results are compared to the experimental measurements concerning the estimation of drag coefficient of the vehicle model. The research carried out indicates the great influence of pre-processing on the reliability of the obtained results. Moreover, the advantages of polyhedral mesh over tetrahedral mesh are pointed out in the paper.MSC 2010: 76G25, 76M25

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Modelling of the UAV Safety Manoeuvre for the Air Insertion Operations

Cited by 17 publications

References 4 publications

Modelling and Optimization of the Air Operational Manoeuvre

Modelling and Optimization of the Air Operational Manoeuvre

Cooperative Unmanned Aerial System Reconnaissance in a Complex Urban Environment and Uneven Terrain

The influence of computational domain discretization on CFD results concerning aerodynamics of a vehicle

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