Radar information creation with use of a simulation environment

Hamtil, Ivan; Šebela, Miroslav; Štefek, Alexandr

doi:10.1049/iet-rsn.2012.0257

Cited by 10 publications

(2 citation statements)

References 6 publications

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“…The first part is the Event Calendar, which creates and arrays the events of entities in chronological order in the simulation. The second part is represented by ODE models of entities (Missile [9], Aircraft [7], Radar [10]) with its solvers, track and destination controllers. The third part perform as a Command Post (CP) / Fire Distribution Centre (FDC), where the C2 procedures are included, there is also applied the queuing theory and the probability distribution.…”

Section: Concept Of the Exedad Simulatormentioning

confidence: 99%

Coupling of ODE and DES Models for Simulation of Air Defence in War-Gaming Experiment

Stefek¹,

Časar²,

Stary³

et al. 2022

Int. j. simul. model.

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The planning stage of any procedure is critical to its successful and efficient execution. Even in the military, over the last few decades, mission planning support has evolved rapidly using modern Modelling and Simulation (M&S) tools. The article focuses on the M&S of Surface Based Air Defence (SBAD) and the design of the complex hybrid simulator coupling Ordinary Differential Equation (ODE) and Discrete-Event Simulation (DES) models. The simulator includes all entities and procedures that participate in SBAD missions, specifically the ODE models of a target, missile, radar, and the models of Command and Control (C2) system procedures. The design of the simulator also includes the possibilities of automated generation of flight routes, fire control and target distribution for multiple targets and Fire Units (FU) using queuing theory algorithms. As a main platform for the development and scenario design, the Jupyter notebook environment with the Python programming language was used. The primary objectives are to design, validate, and implement the proposed simulator in SBAD mission planning, military cadets' education, and experimental tasks.

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Section: Concept Of the Exedad Simulatormentioning

confidence: 99%

Coupling of ODE and DES Models for Simulation of Air Defence in War-Gaming Experiment

Stefek¹,

Časar²,

Stary³

et al. 2022

Int. j. simul. model.

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“…The modelling of a plane and air defence during a particular conflict and its solution has been published in [5][6][7]. However, in this case, quite a simple aircraft model has been used, and thus some of the attributes mentioned above cannot be considered.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of Fuzzy Logic Based Virtual Pilot for Wargaming

Štefek

Františ

2021

Mathematics

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This paper deals with the design of an autopilot based on a set of fuzzy controllers. The model of the aircraft that the autopilot controls is defined as a model with 6 degrees of freedom, where the inputs to this model are the settings of the engine thrust (DX), rudder rotation (Dl) and elevators (Dm and Dn). The fuzzy controllers are of the Mamdani type, where the set of parameters defining the controller allow the derivation of membership functions of the input variables and membership functions of the output variables. The parameters of fuzzy controllers are determined by the optimization process. For the purpose of optimization, a fitness function is defined, which derives the simulation parameters from its parameter (vector), and the simulation subsequently performed and evaluated determines whether it is a feasible solution in addition the value of this solution. By this optimization process, the sub-optimal solution is found and is then used to define the settings of the fuzzy controllers and, therefore, the autopilot. This paper contains a description of each step of the solution of the described problem, and with the help of the obtained results, it is determined that the presented procedure allows us to find an autopilot capable of controlling the defined model of the aircraft. In addition, there is a brief description regarding the misconceptions explored during the development of the experiment.

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