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Development of a fuzzy logic-based method for estimating the flight path of an unmanned aerial vehicle (UAV) required for the unmanned traffic management (UTM) system

C. DUMITRESCU1,* , O. GHIȚĂ2

Affiliation

  1. Department Telematics and Electronics for Transports, National University of Science and Technology Politehnica Bucharest, 313 Splaiul Independentei 060042, Bucharest, Romania, Energy & Eco Concept SR
  2. Electrical Engineering Faculty, National University of Science and Technology Politehnica Bucharest, 313 Splaiul Independentei 060042, Bucharest, Romania, Energy & Eco Concept SRL

Abstract

The purpose of this article is to provide a solution for estimating the trajectory for UAVs, using the intelligent control with fuzzy logic. Fuzzy logic, which is based on the theory of fuzzy sets, allows the linguistic description of the laws of command, operation and control of a system that can be managed by the soft computing. Working with complex and nonlinear systems it can often be seen that as their complexity increases there is a decrease in the significance of the details in describing the overall behavior of the systems. One of the consistent arguments for approaching through vague sets and logic methods the description of the laws of command and operation of systems is that of the ease of use of linguistic expressions, of the use of words. In this article, we propose a Unmanned Traffic Management System (UTM) architecture for an unmanned traffic management system for detecting the trajectory of unmanned aerial vehicles (UAVs) based on fuzzy logic. The performance of the fuzzy system, evaluated in terms of prediction error and the number of targets (drones) lost by radars, and the comparison with that of a system using a Kalman filter demonstrate the effectiveness of the fuzzy system. The generalization of the use of the fuzzy system for any type of target depends on the development of automated approaches for determining the most appropriate rules and membership functions..

Keywords

Fuzzy logic, Kalman filter, Soft computing, Unmanned traffic management.

Submitted at: April 4, 2025
Accepted at: Aug. 5, 2025

Citation

C. DUMITRESCU, O. GHIȚĂ, Development of a fuzzy logic-based method for estimating the flight path of an unmanned aerial vehicle (UAV) required for the unmanned traffic management (UTM) system, Journal of Optoelectronics and Advanced Materials Vol. 27, Iss. 7-8, pp. 382-391 (2025)