Safety-Critical Containment Control for Quadrotor Team Using Exponential Control Barrier Functions

In this work, the containment control problem for a quadrotor team is addressed in the presence of multiple dynamic leaders with unknown bounded time-varying inputs. Both safety-critical constraints and input constraints are considered. Specifically, a linear extended state observer (ESO) is employed to handle the uncertainty and disturbance. A distributed fixed-time observer is designed to estimate the reference signal requiring no global information. The proposed nominal controller can guarantee the formation geometric constraint in steady states. Moreover, safety certificates for collision-free in transient states is enforced by using exponential control barrier functions (ECBFs). A real-time quadratic programming (QP) problem is constructed to modify the nominal controller such that both safety constraint and input constraint can be satisfied. Finally, simulations and experiments illustrate the effectiveness of the algorithm.

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Publication Details

Journal
Unmanned Systems
Published
2024-11-05
DOI
https://doi.org/10.1142/s2301385025500876
Primary Topic
Smart Grid Security and Resilience
Type
article
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article

Safety-Critical Containment Control for Quadrotor Team Using Exponential Control Barrier Functions

Mou Chen, Zheng Xia
Unmanned Systems
Smart Grid Security and Resilience
article

Safety-Critical Containment Control for Quadrotor Team Using Exponential Control Barrier Functions

Mou Chen, Zheng Xia
article en

Abstract

In this work, the containment control problem for a quadrotor team is addressed in the presence of multiple dynamic leaders with unknown bounded time-varying inputs. Both safety-critical constraints and input constraints are considered. Specifically, a linear extended state observer (ESO) is employed to handle the uncertainty and disturbance. A distributed fixed-time observer is designed to estimate the reference signal requiring no global information. The proposed nominal controller can guarantee the formation geometric constraint in steady states. Moreover, safety certificates for collision-free in transient states is enforced by using exponential control barrier functions (ECBFs). A real-time quadratic programming (QP) problem is constructed to modify the nominal controller such that both safety constraint and input constraint can be satisfied. Finally, simulations and experiments illustrate the effectiveness of the algorithm.

Unmanned SystemsVol. 14(01)
Nanjing University of Aeronautics and Astronautics (CN)
Climate action
Openalex Percentile: Top 77%
Smart Grid Security and Resilience
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