Omslagsbillede

Multi-sensor data fusion and nonlinear programming-based path prediction for escaping from engagement in combat

Guardado en:
Udgivet i:Archives of Control Sciences vol. 34, no. 2 (2024), p. 247
Hovedforfatter: Gökal, Enver Nurullah
Andre forfattere: Sakarya, Ufuk
Udgivet:
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Fag:
Sensors
Unmanned aerial vehicles
Optimization
Remote control
Remote sensors
Algorithms
Data integration
Military aviation
Extended Kalman filter
Constraints
Noise prediction (aircraft)
Path predictors
Multisensor fusion
Nonlinear programming
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Resumen:One of the most important factors that bring success in modern warfare is to show air superiority. Unmanned aerial vehicles (UAVs) have now become an essential component of military air operations. UAVs can be operated in two ways: by pilots from remote control stations or by flying autonomously. Under the condition of disconnection from the control station, UAVs have trouble maintaining navigation and maneuverability. By applying multisensor data fusion, an escape path prediction algorithm was developed and presented as an engagement escape method in this study. To develop the algorithm for prediction of the optimal escape route, data from various sensors are collected and processed under the influence of noise. The data from the distance and angle sensors are interpreted in the Extended Kalman Filter and estimations are made. The instant optimal escape route is created by applying the constrained optimization method on the estimations made. The main motivation of this study is developing a deterministic-based method to get the certification of it in aviation. Therefore, instead of stochastic-based learning approaches, a deterministic approach is preferred. Nonlinear programming is used as the constraint optimization method because the constraints and objective function are nonlinear. In the selected scenarios, it can be seen in the simulation results that the proposed method shows a promising result in terms of escape from engagement.
ISSN:1230-2384
2300-2611
DOI:10.24425/acs.2024.149660
Fuente:Advanced Technologies & Aerospace Database