Finite-Time Disturbance Reconstruction and ADP-Assisted Attitude Regulation for Aerial-Refueling Receiver Aircraft

This paper investigates the attitude control problem of an aerial-refueling receiver aircraft subject to tanker-wake disturbances, atmospheric gusts, aerodynamic uncertainties, and inertia perturbations. To simultaneously improve transient performance, disturbance-rejection capability, and control efficiency, a prescribed-performance adaptive dynamic programming (ADP) framework is developed. First, a finite-time performance envelope is introduced to explicitly constrain the attitude response and guarantee that the prescribed performance boundary reaches its steady-state value within a finite time. Then, a high-precision finite-time disturbance observer, incorporating a finite-time differentiator, is constructed to reconstruct the lumped disturbance acting on the receiver aircraft. Based on the disturbance-compensated system, an ADP-based auxiliary policy is combined with a nonlinear damping term to coordinate transient regulation and control-effort optimization. Theoretical analysis establishes finite-time disturbance reconstruction and local uniform ultimate boundedness of the closed-loop signals under an explicitly stated input-to-state stability condition. Comparative simulations against a classical ADP controller and a robust finite-time controller demonstrate that the proposed method achieves smoother transient responses and a favorable balance between attitude regulation and control effort. Hardware-in-the-loop experiments on a three-axis turntable platform further verify the real-time implementability and effectiveness of the proposed control scheme.

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Publication Details

Journal
Sensors
Published
2026-10-28
DOI
https://doi.org/10.3390/s26216814
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Finite-Time Disturbance Reconstruction and ADP-Assisted Attitude Regulation for Aerial-Refueling Receiver Aircraft

Wenbi Zhao, Bing Xiao, Yiming Guo
2 links
Sensors
Adaptive Control of Nonlinear Systems
article

Finite-Time Disturbance Reconstruction and ADP-Assisted Attitude Regulation for Aerial-Refueling Receiver Aircraft

Wenbi Zhao, Bing Xiao, Yiming Guo
article en

Abstract

This paper investigates the attitude control problem of an aerial-refueling receiver aircraft subject to tanker-wake disturbances, atmospheric gusts, aerodynamic uncertainties, and inertia perturbations. To simultaneously improve transient performance, disturbance-rejection capability, and control efficiency, a prescribed-performance adaptive dynamic programming (ADP) framework is developed. First, a finite-time performance envelope is introduced to explicitly constrain the attitude response and guarantee that the prescribed performance boundary reaches its steady-state value within a finite time. Then, a high-precision finite-time disturbance observer, incorporating a finite-time differentiator, is constructed to reconstruct the lumped disturbance acting on the receiver aircraft. Based on the disturbance-compensated system, an ADP-based auxiliary policy is combined with a nonlinear damping term to coordinate transient regulation and control-effort optimization. Theoretical analysis establishes finite-time disturbance reconstruction and local uniform ultimate boundedness of the closed-loop signals under an explicitly stated input-to-state stability condition. Comparative simulations against a classical ADP controller and a robust finite-time controller demonstrate that the proposed method achieves smoother transient responses and a favorable balance between attitude regulation and control effort. Hardware-in-the-loop experiments on a three-axis turntable platform further verify the real-time implementability and effectiveness of the proposed control scheme.

SensorsVol. 26(21)
Northwestern Polytechnical University (CN), Chang'an University (CN), Xi'an Technological University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 18%
Adaptive Control of Nonlinear Systems
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