Distributed formation tracking control of multi-UAV with monotone prescribed performance

In this paper, the formation tracking control for multiple unmanned aerial vehicles (UAVs) is investigated with monotone prescribed performance control (MPPC). In order to reduce the amount of overshooting and convergence time, a novel distributed monotonic performance control scheme is proposed. Compared with the traditional prescribed performance control (PPC), the lower and upper bounds of proposed prescribed performance function are unsymmetric, which can enhance the transient performance. Moreover, an error conversion function is constructed by the MPPC to achieve the transforming of the formation tracking errors. In addition, based on second-order sliding mode differentiator and fuzzy logic system, the fully distributed adaptive formation control protocol is proposed to achieve predefined formation. Simulation is performed to demonstrate the effectiveness of the proposed control design in formation tracking control.

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Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2025-10-21
DOI
https://doi.org/10.1177/01423312251371871
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Distributed formation tracking control of multi-UAV with monotone prescribed performance

Yanming Wu, Jinguo Liu, Zelun Wang, Guanglei Meng
Transactions of the Institute of Measurement and Control
Distributed Control Multi-Agent Systems
article

Distributed formation tracking control of multi-UAV with monotone prescribed performance

Yanming Wu, Jinguo Liu, Zelun Wang, Guanglei Meng
article en

Abstract

In this paper, the formation tracking control for multiple unmanned aerial vehicles (UAVs) is investigated with monotone prescribed performance control (MPPC). In order to reduce the amount of overshooting and convergence time, a novel distributed monotonic performance control scheme is proposed. Compared with the traditional prescribed performance control (PPC), the lower and upper bounds of proposed prescribed performance function are unsymmetric, which can enhance the transient performance. Moreover, an error conversion function is constructed by the MPPC to achieve the transforming of the formation tracking errors. In addition, based on second-order sliding mode differentiator and fuzzy logic system, the fully distributed adaptive formation control protocol is proposed to achieve predefined formation. Simulation is performed to demonstrate the effectiveness of the proposed control design in formation tracking control.

Transactions of the Institute of Measurement and Control
Shenyang Aerospace University (CN), Shenyang Institute of Automation (CN), Chinese Academy of Sciences (CN)
Openalex Percentile: Top 65%
Distributed Control Multi-Agent Systems
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