Barrier function‐based adaptive dynamic prescribed performance attitude controller design for disturbed aircraft systems

Abstract This paper investigates the attitude tracking control problem for rigid aircraft in the presence of disturbances. An initially relaxed and adjustable prescribed performance control (PPC) strategy is proposed. In this approach, a dynamically adaptive performance function is designed to allow self‐adjustment of constraint boundaries, thereby enhancing system adaptability and reducing dependence on initial conditions. Furthermore, by integrating dynamic performance functions with barrier functions, a faster convergence rate is achieved. To handle state‐dependent disturbances with unknown upper bounds, a segmented adaptive term is introduced to accurately estimate both the total disturbances and their internal parameters. Finally, rigorous stability analysis and comparative simulation results are provided to demonstrate the effectiveness and superiority of the proposed control scheme.

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Publication Details

Journal
Asian Journal of Control
Published
2025-09-19
DOI
https://doi.org/10.1002/asjc.3851
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Barrier function‐based adaptive dynamic prescribed performance attitude controller design for disturbed aircraft systems

Xiaodong Wang, Mingze Wang, Xiaoping Shi, Shenghui Wei
Asian Journal of Control
Adaptive Control of Nonlinear Systems
article

Barrier function‐based adaptive dynamic prescribed performance attitude controller design for disturbed aircraft systems

Xiaodong Wang, Mingze Wang, Xiaoping Shi, Shenghui Wei
article en

Abstract

Abstract This paper investigates the attitude tracking control problem for rigid aircraft in the presence of disturbances. An initially relaxed and adjustable prescribed performance control (PPC) strategy is proposed. In this approach, a dynamically adaptive performance function is designed to allow self‐adjustment of constraint boundaries, thereby enhancing system adaptability and reducing dependence on initial conditions. Furthermore, by integrating dynamic performance functions with barrier functions, a faster convergence rate is achieved. To handle state‐dependent disturbances with unknown upper bounds, a segmented adaptive term is introduced to accurately estimate both the total disturbances and their internal parameters. Finally, rigorous stability analysis and comparative simulation results are provided to demonstrate the effectiveness and superiority of the proposed control scheme.

Asian Journal of Control
Beijing Electronic Science and Technology Institute (CN), Harbin Institute of Technology (CN), Heilongjiang Institute of Technology (CN)
Openalex Percentile: Top 68%
Adaptive Control of Nonlinear Systems
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