Six-Degree-of-Freedom Intelligent Control of Hypersonic Flight Vehicle

The six-degree-of-freedom control of hypersonic flight vehicles (HFVs) faces great challenges due to complex aerodynamics, inherent couplings, and multiple constraints. This article investigates the six-degree-of-freedom guidance and attitude control problem for unpowered gliding HFVs. The guidance loop is based on the predictor–corrector method with three improvements: intelligent prediction acceleration, path constraint accommodation, and no-fly zone circumvention. To quickly respond to guidance commands, three attitude channels (i.e., roll, pitch, and yaw) are completely decoupled by nonlinear dynamic inverse, based on which a high-performance low-complexity attitude controller is proposed. This benefits from the appropriate integration of barrier function and sliding-mode control, while design conditions of three alternative performances (i.e., asymptotic, exponential, and preset-time convergences) are discussed. Servo dynamics and physical constraints of aerodynamic control surfaces are also well handled.

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Institutions

Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2025-03-06
DOI
https://doi.org/10.1109/taes.2025.3548555
Citations
2
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
2.43

Funders

Controls
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article

Six-Degree-of-Freedom Intelligent Control of Hypersonic Flight Vehicle

Xinyu Zhong, Yongshang Ye, Hao An, Yiming Wang
2 citations
IEEE Transactions on Aerospace and Electronic Systems
Adaptive Control of Nonlinear Systems
2.43
article

Six-Degree-of-Freedom Intelligent Control of Hypersonic Flight Vehicle

Xinyu Zhong, Yongshang Ye, Hao An, Yiming Wang
article en
2 citations

Abstract

The six-degree-of-freedom control of hypersonic flight vehicles (HFVs) faces great challenges due to complex aerodynamics, inherent couplings, and multiple constraints. This article investigates the six-degree-of-freedom guidance and attitude control problem for unpowered gliding HFVs. The guidance loop is based on the predictor–corrector method with three improvements: intelligent prediction acceleration, path constraint accommodation, and no-fly zone circumvention. To quickly respond to guidance commands, three attitude channels (i.e., roll, pitch, and yaw) are completely decoupled by nonlinear dynamic inverse, based on which a high-performance low-complexity attitude controller is proposed. This benefits from the appropriate integration of barrier function and sliding-mode control, while design conditions of three alternative performances (i.e., asymptotic, exponential, and preset-time convergences) are discussed. Servo dynamics and physical constraints of aerodynamic control surfaces are also well handled.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(4)
Harbin Institute of Technology (CN)
Natural Science Foundation of Heilongjiang Province
Openalex Percentile: Top 13%
Adaptive Control of Nonlinear Systems
2.43
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