Collaborative Safety-Critical Scaling Formation Control of VTOL UAVs: An NMPC-CLF-CBF Approach

This paper presents a nonlinear model predictive control (NMPC) framework integrated with control barrier functions (CBFs) and control Lyapunov functions (CLFs) for safe formation control of multiple vertical take-off and landing unmanned aerial vehicles in dense environments. In realworld scenarios, UAVs face significant challenges in collision avoidance and safe inter-vehicle distance maintenance. The proposed method integrates formation-keeping constraints with safety-critical constraints, ensuring collision avoidance and dynamic feasibility. By leveraging NMPC's predictive capability alongside the safety guarantees of CBFs and CLFs, our approach effectively generates smooth flight trajectories while maintaining formation and avoiding obstacles. The proposed method demonstrates reliable performance in dynamic and constrained environments, providing a practical solution for real-world applications.

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Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1109/icca65672.2025.11129786
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
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article

Collaborative Safety-Critical Scaling Formation Control of VTOL UAVs: An NMPC-CLF-CBF Approach

Delin Luo, Ziyi Yang, Zhengyu Guo, Jian Zhang et al.
Hydrocarbon exploration and reservoir analysis
article

Collaborative Safety-Critical Scaling Formation Control of VTOL UAVs: An NMPC-CLF-CBF Approach

Delin Luo, Ziyi Yang, Zhengyu Guo, Jian Zhang, Langcai Cao, Yang Xu
article en

Abstract

This paper presents a nonlinear model predictive control (NMPC) framework integrated with control barrier functions (CBFs) and control Lyapunov functions (CLFs) for safe formation control of multiple vertical take-off and landing unmanned aerial vehicles in dense environments. In realworld scenarios, UAVs face significant challenges in collision avoidance and safe inter-vehicle distance maintenance. The proposed method integrates formation-keeping constraints with safety-critical constraints, ensuring collision avoidance and dynamic feasibility. By leveraging NMPC's predictive capability alongside the safety guarantees of CBFs and CLFs, our approach effectively generates smooth flight trajectories while maintaining formation and avoiding obstacles. The proposed method demonstrates reliable performance in dynamic and constrained environments, providing a practical solution for real-world applications.

Universidad de Granada (ES), Xiamen University (CN), Changji University (CN)
Openalex Percentile: Top 74%
Hydrocarbon exploration and reservoir analysis
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Collaborative Safety-Critical Scaling Formation Control of VTOL UAVs: An NMPC-CLF-CBF Approach — Delin Luo, Ziyi Yang, et al. · (2025) | TGRS Research Map | TGRS