Cooperative Impact Time Guidance for AAVs: Theory and Experiment

The role of autonomous aerial vehicle (AAV) swarms on the battlefield is becoming increasingly significant. They are anticipated to emerge as the primary offensive and strike weapon in the future. In contrast to existing cooperative guidance strategies, which are largely confined to the assumption of constant forward velocity, we designed a cooperative impact time guidance strategy that allows for adjustable forward velocity. Our analysis shows that by introducing time-varying proportional guidance coefficients and time-to-go estimation, the proposed cooperative guidance law is equivalent to the energy-optimal cooperative guidance law. Simulations and flight tests are employed to validate the effectiveness of the proposed strategy. To the best of our knowledge, this represents the first practical test in which a cooperative guidance algorithm has been integrated with AAVs.

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Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2025-08-04
DOI
https://doi.org/10.1109/taes.2025.3595108
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
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article

Cooperative Impact Time Guidance for AAVs: Theory and Experiment

Shulong Zhao, Kun Liu, Jun Liu, Xiangke Wang et al.
IEEE Transactions on Aerospace and Electronic Systems
Distributed Control Multi-Agent Systems
article

Cooperative Impact Time Guidance for AAVs: Theory and Experiment

Shulong Zhao, Kun Liu, Jun Liu, Xiangke Wang, Jiayi Zheng
article en

Abstract

The role of autonomous aerial vehicle (AAV) swarms on the battlefield is becoming increasingly significant. They are anticipated to emerge as the primary offensive and strike weapon in the future. In contrast to existing cooperative guidance strategies, which are largely confined to the assumption of constant forward velocity, we designed a cooperative impact time guidance strategy that allows for adjustable forward velocity. Our analysis shows that by introducing time-varying proportional guidance coefficients and time-to-go estimation, the proposed cooperative guidance law is equivalent to the energy-optimal cooperative guidance law. Simulations and flight tests are employed to validate the effectiveness of the proposed strategy. To the best of our knowledge, this represents the first practical test in which a cooperative guidance algorithm has been integrated with AAVs.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(6)
National University of Defense Technology (CN)
Climate action
Openalex Percentile: Top 79%
Distributed Control Multi-Agent Systems
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Cooperative Impact Time Guidance for AAVs: Theory and Experiment — Shulong Zhao, Kun Liu, et al. · IEEE Transactions on Aerospace and Electronic Systems (2025) | TGRS Research Map | TGRS