Robust Distributed Formation of UAV Swarms with Collision Avoidance under Control Signal Nonlinearity and Unknown Input of Leader

Muhammad Qaisar Ali, Muhammad Rehan, Ijaz Ahmed*, Muhammad Khalid

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper considers the formation control of unmanned aerial vehicles (UAVs) along with collision avoidance under nonlinear control signals and unknown input of the leader. First, the problem of estimation of input of the leader by the followers has been addressed. This input estimation is needed to use a compensation signal in the formation controller by the follower agents. To solve the problem, we have applied a distributed estimator for follower UAVs to estimate the time-varying leader’s input, which is then used in the formation controller. Second, a robust leader-following formation control approach under directed graphs by application of the cooperative input estimator has been revealed. While designing the formation controller, the input nonlinearities, which are always present in the UAVs due to actuator and controller responses, are also investigated. The problem of input nonlinearity has been dealt with by merging the nonlinearity in the communication topology of UAV nodes and the LPV treatment. The stability analyses of the estimator and controller are provided, and design conditions are carried out with the help of Lyapunov function-based approaches. Simulation results are provided to verify the theoretical and mathematical work for estimation and formation problems.

Original languageEnglish
Pages (from-to)24717-24736
Number of pages20
JournalNonlinear Dynamics
Volume113
Issue number18
DOIs
StatePublished - Sep 2025

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature B.V. 2025.

Keywords

  • Directed graphs
  • Formation control
  • Input nonlinearity
  • Robustness
  • UAV swarms

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Aerospace Engineering
  • Ocean Engineering
  • Mechanical Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

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