Fixed-Time Target Tracking and Encirclement Control for Multi-UAVs with Bearing-Only Measurements

This paper introduces a novel fixed-time control framework for simultaneous target tracking and circumnavigation in a multi-UAV system, using only bearing measurements. The proposed approach enables the UAV swarm to rapidly form and maintain a rigid circular formation around a moving target, with continuous tracking and uniform angular spacing between agents. A key innovation is the development of a distributed fixed-time estimator, which allows each UAV to localize the target within a fixed time using only local bearing information and limited inter-agent communication. Building on this estimator, a hierarchical control strategy is designed, where a leader UAV guides the formation while followers achieve and maintain uniform distribution along the orbit. The fixed-time stability of the overall closed-loop system is rigorously established through Lyapunov analysis. Numerical simulations confirm the fixed-time convergence of the algorithm. Compared to an existing asymptotic-convergence benchmark, the proposed approach achieves significantly faster and deterministic convergence, with improved formation accuracy.

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Publication Details

Journal
Drones
Published
2026-01-15
DOI
https://doi.org/10.3390/drones10010063
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Fixed-Time Target Tracking and Encirclement Control for Multi-UAVs with Bearing-Only Measurements

Shangzhi Liao, Xuesong Wu, Zican Zhou, Jiao Yuan et al.
Drones
Distributed Control Multi-Agent Systems
article

Fixed-Time Target Tracking and Encirclement Control for Multi-UAVs with Bearing-Only Measurements

Shangzhi Liao, Xuesong Wu, Zican Zhou, Jiao Yuan, Jiangping Hu
article en

Abstract

This paper introduces a novel fixed-time control framework for simultaneous target tracking and circumnavigation in a multi-UAV system, using only bearing measurements. The proposed approach enables the UAV swarm to rapidly form and maintain a rigid circular formation around a moving target, with continuous tracking and uniform angular spacing between agents. A key innovation is the development of a distributed fixed-time estimator, which allows each UAV to localize the target within a fixed time using only local bearing information and limited inter-agent communication. Building on this estimator, a hierarchical control strategy is designed, where a leader UAV guides the formation while followers achieve and maintain uniform distribution along the orbit. The fixed-time stability of the overall closed-loop system is rigorously established through Lyapunov analysis. Numerical simulations confirm the fixed-time convergence of the algorithm. Compared to an existing asymptotic-convergence benchmark, the proposed approach achieves significantly faster and deterministic convergence, with improved formation accuracy.

DronesVol. 10(1)
University of Electronic Science and Technology of China (CN), China Electronics Technology Group Corporation (CN), Huzhou Normal University (CN)
National Key Research and Development Program of China
Industry, innovation and infrastructure
Openalex Percentile: Top 89%
Distributed Control Multi-Agent Systems
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