Nonlinear-MPC based Distributed Navigation for Multiple UAVs with Limited Field-of-View

This letter proposes a Nonlinear Model Predictive Control (NMPC) based distributed control scheme for navigation of multiple UAVs with limited Field-of-View (FoV). Each UAV distributedly maintains connectivity with its target UAV. We consider a GPS-denied environment, with UAVs relying on information from onboard sensors which have limited FoV. Generally, due to the dynamics of the UAV, the sensing task can often collide with the motion task. Also, UAVs have physical constraints which make those tasks more difficult. In our method, NMPC is used to handle these tasks under constraints. The performance of our method is verified by a simulation.

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Publication Details

Journal
Journal of the Robotics Society of Japan
Published
2025-01-01
DOI
https://doi.org/10.7210/jrsj.43.222
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Nonlinear-MPC based Distributed Navigation for Multiple UAVs with Limited Field-of-View

Takahiro Endo, Ryosuke Ozaki
Journal of the Robotics Society of Japan
Distributed Control Multi-Agent Systems
article

Nonlinear-MPC based Distributed Navigation for Multiple UAVs with Limited Field-of-View

Takahiro Endo, Ryosuke Ozaki
article en

Abstract

This letter proposes a Nonlinear Model Predictive Control (NMPC) based distributed control scheme for navigation of multiple UAVs with limited Field-of-View (FoV). Each UAV distributedly maintains connectivity with its target UAV. We consider a GPS-denied environment, with UAVs relying on information from onboard sensors which have limited FoV. Generally, due to the dynamics of the UAV, the sensing task can often collide with the motion task. Also, UAVs have physical constraints which make those tasks more difficult. In our method, NMPC is used to handle these tasks under constraints. The performance of our method is verified by a simulation.

Journal of the Robotics Society of JapanVol. 43(2)
Nagaoka University (JP), Kyoto University (JP), Nagaoka University of Technology (JP)
Affordable and clean energy
Openalex Percentile: Top 95%
Distributed Control Multi-Agent Systems
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