Refined Disturbance Utilization-Based Green Control for Spacecraft With Composite Actuator Disturbances

As the actuator of spacecraft, reaction wheels inevitably exist multiple input disturbances, such as axle friction. These disturbances are coupled with system inputs and exhibit strong composite characteristic, which significantly affect the control quality of spacecraft. To overcome the negative impact of composite disturbances, this article proposes a refined disturbance utilization-based green control scheme, focusing on the disturbance separation, estimation, and utilization. First, a deep coupled model of the spacecraft based on the reaction wheel dynamic is established, effectively separating composite disturbances according to their influence topology. Second, to effectively estimate composite disturbances, refined sliding-mode disturbance observer and adaptive sliding-mode disturbance observer are, respectively, designed based on the characteristics of the separated disturbances. Subsequently, in an effort to assess the beneficial or harmful effects of composite disturbances, disturbance discrimination operators are designed by utilizing the impact of disturbances on the system convergence. Combining the dual disturbance observers and the disturbance discrimination operators, a refined disturbance utilization-based green controller is finally constructed to compensate for harmful disturbances and utilize beneficial disturbances. Simulation and experiment validate the effectiveness of the proposed scheme, which demonstrates the characteristics of high-precision and low-energy consumption.

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Institutions

Publication Details

Journal
IEEE/ASME Transactions on Mechatronics
Published
2025-05-16
DOI
https://doi.org/10.1109/tmech.2025.3563132
Citations
2
Primary Topic
Aerospace Engineering and Control Systems
Type
article
Field-Weighted Citation Impact
9.99

Funders

Controls
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article

Refined Disturbance Utilization-Based Green Control for Spacecraft With Composite Actuator Disturbances

Hao Teng, Jianzhong Qiao, Lei Guo, Y. Lu et al.
2 citations
IEEE/ASME Transactions on Mechatronics
Aerospace Engineering and Control Systems
9.99
article

Refined Disturbance Utilization-Based Green Control for Spacecraft With Composite Actuator Disturbances

Hao Teng, Jianzhong Qiao, Lei Guo, Y. Lu, Pengfei Xia
article en
2 citations

Abstract

As the actuator of spacecraft, reaction wheels inevitably exist multiple input disturbances, such as axle friction. These disturbances are coupled with system inputs and exhibit strong composite characteristic, which significantly affect the control quality of spacecraft. To overcome the negative impact of composite disturbances, this article proposes a refined disturbance utilization-based green control scheme, focusing on the disturbance separation, estimation, and utilization. First, a deep coupled model of the spacecraft based on the reaction wheel dynamic is established, effectively separating composite disturbances according to their influence topology. Second, to effectively estimate composite disturbances, refined sliding-mode disturbance observer and adaptive sliding-mode disturbance observer are, respectively, designed based on the characteristics of the separated disturbances. Subsequently, in an effort to assess the beneficial or harmful effects of composite disturbances, disturbance discrimination operators are designed by utilizing the impact of disturbances on the system convergence. Combining the dual disturbance observers and the disturbance discrimination operators, a refined disturbance utilization-based green controller is finally constructed to compensate for harmful disturbances and utilize beneficial disturbances. Simulation and experiment validate the effectiveness of the proposed scheme, which demonstrates the characteristics of high-precision and low-energy consumption.

IEEE/ASME Transactions on MechatronicsVol. 30(6)
Beihang University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 3%
Aerospace Engineering and Control Systems
9.99
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