Three-Dimensional Helical Guidance With Impact Time Constraints

This paper addresses the three-dimensional helical guidance problem for attacking a stationary target. Different from the existing works, a three-dimensional helical guidance law is developed to cater for impact time constraints. Firstly, an analytical time-to-go estimation expression is proposed, and a vector guidance law is designed by using an inverse design method to ensure accurate time-to-go prediction. Furthermore, a helical term is incorporated to induce helical maneuvers, enhancing the system observability without compromising time-to-go estimation accuracy. To broaden applicability, a biased feedback command is augmented to accommodate diverse impact time constraints, with a rigorous convergence proof provided via Lyapunov theory. Additionally, an unmanned aerial vehicle-based pure physical system and a fixed-wing hardware-in-the-loop system are introduce to provide experimental validation. Finally, the effectiveness and reliability of the proposed guidance law are confirmed through both numerical simulations and physical experiments.

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Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2025-10-14
DOI
https://doi.org/10.1109/taes.2025.3621404
Primary Topic
Guidance and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Three-Dimensional Helical Guidance With Impact Time Constraints

Xiwang Dong, Xiaokang Lü, Heng Li, Jianglong Yu et al.
IEEE Transactions on Aerospace and Electronic Systems
Guidance and Control Systems
article

Three-Dimensional Helical Guidance With Impact Time Constraints

Xiwang Dong, Xiaokang Lü, Heng Li, Jianglong Yu, Rongchun Zhang, Qing Wang
article en

Abstract

This paper addresses the three-dimensional helical guidance problem for attacking a stationary target. Different from the existing works, a three-dimensional helical guidance law is developed to cater for impact time constraints. Firstly, an analytical time-to-go estimation expression is proposed, and a vector guidance law is designed by using an inverse design method to ensure accurate time-to-go prediction. Furthermore, a helical term is incorporated to induce helical maneuvers, enhancing the system observability without compromising time-to-go estimation accuracy. To broaden applicability, a biased feedback command is augmented to accommodate diverse impact time constraints, with a rigorous convergence proof provided via Lyapunov theory. Additionally, an unmanned aerial vehicle-based pure physical system and a fixed-wing hardware-in-the-loop system are introduce to provide experimental validation. Finally, the effectiveness and reliability of the proposed guidance law are confirmed through both numerical simulations and physical experiments.

IEEE Transactions on Aerospace and Electronic SystemsVol. 62
Beijing Academy of Artificial Intelligence (CN), Beihang University (CN)
Openalex Percentile: Top 61%
Guidance and Control Systems
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