A Swarm Formation Control System for AAV-Enabled Internet of Things With Hybrid Path Planning
To address the problem of real-time path planning for autonomous aerial vehicle (AAV) formations in complex environments, this article proposes a hybrid path planning control system tailored for AAV-enabled Internet of Things (IoT) utilizing near-field communication (NFC) among them. We model the AAV formation problem as an undirected graph, and first design a virtual leader-follower method based on the consistency principle of distributed systems. After that, we present an innovative hybrid path planning method (named ASAP-A*), combining A* and artificial potential field methods. It effectively reduces redundant points in the path and optimizes the AAV trajectory by B-spline smoothing to meet AAV trajectory requirements. Finally, we construct a user-friendly AAV swarms formation control system based the proposed methods, tackling the complexity of operating existing systems, and verifying the effectiveness of our solutions.
Authors
- Zhaolong Ning (ORCID: https://orcid.org/0000-0002-7870-5524)
- Lei Xiao (ORCID: https://orcid.org/0000-0001-7166-2317)
- Zhihao Mu
- He Liu (ORCID: https://orcid.org/0000-0002-4103-312X)
- Xiaojie Wang (ORCID: https://orcid.org/0000-0003-4098-6399)
- Xiaoying Zhang (ORCID: https://orcid.org/0000-0001-7068-8857)
- Jiawei Zhang (ORCID: https://orcid.org/0000-0001-7393-710X)
Institutions
- Chongqing University of Posts and Telecommunications (CN)
- National University of Defense Technology (CN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2024-12-30
- DOI
- https://doi.org/10.1109/jiot.2024.3523586
- Citations
- 1
- Primary Topic
- UAV Applications and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 1.30
Funders
- National Natural Science Foundation of China