Volume 18, Issue 3 (Journal of Control, V.18, N.3 Fall 2024)                   JoC 2024, 18(3): 23-35 | Back to browse issues page

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Hatef M, Bagheri P, Hashemzadeh F. Air Traffic Management for UAVs in 2D Airspace using Minimum Time Distributed Predictive Control. JoC 2024; 18 (3) :23-35
URL: http://joc.kntu.ac.ir/article-1-1021-en.html
Air Traffic Management for UAVs in 2D Airspace using Minimum Time Distributed Predictive Control
Melika Hatef1 , Peyman Bagheri *1 , Farzad Hashemzadeh2
1- University of Tabriz
2- Control and Automation Engineering Department, Istanbul Technical University, 34469 Istanbul, Turkey
Abstract:   (1172 Views)
From the beginning, aviation has depended on pilots and air traffic controllers working together to control aircraft and avoid collisions. On the other hand, fully autonomous flying devices are currently prohibited from civilian airspace, but researchers are making great efforts to develop methods and technologies to increase the reliability of fully autonomous flights and integration with civilian airspace. Safety in UAV operations depend on reducing technical barriers and improving their autonomous capabilities. In this paper, a collision resolution algorithm based on predictive control is introduced in a multi-UAV scenario to calculate and introduce the predicted path with the least mission completion time. Then, a collision avoidance system is designed based on a distributed MPC for trajectory tracking, where anti-collision constraints are defined in accordance with ICAO right-of-way rules. The simulation results show that the proposed design can solve the conflicts in real time and in a crowded airspace without creating conflicts in the path and secondary collision.
Keywords: Air traffic, UAVs, Distributed predictive control, Conflict, Collision avoidance
Full-Text [PDF 1059 kb]   (153 Downloads)    
Type of Article: Research paper | Subject: General
Received: 2024/01/28 | Accepted: 2024/07/28 | ePublished ahead of print: 2024/08/29 | Published: 2024/11/21
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