A Filter-Based Extended State Observer With Arbitrary Noise Suppression Ability and Its Application to Drag-Free Spacecraft System

In this work, we investigate the measurement noise sensitivity and peaking problem of the extended state observer (ESO) under high-gain characteristics. For a class of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i>-order nonlinear systems with measurement noise, a new variable-order filter and the corresponding filtered ESO (FESO) are constructed to achieve arbitrary suppression ability of measurement noise. Such a salient feature lies in the establishment of the variable-order filter with independent parameters such that the observer poles and the order of the proposed filter can be set arbitrarily by the designer, thereby allowing the user to predefine the suppression strength in prior by adjusting parameters. In addition, a peaking-free FESO is further proposed to eliminate the undesired peaking phenomenon during the transient state. Finally, a comprehensive numerical comparison is presented, and the proposed peaking-free FESO is applied to the drag-free spacecraft hardware in-loop platform. The simulation results reveal the advantages of the proposed scheme in measurement noise suppression and peaking elimination.

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Publication Details

Journal
IEEE Transactions on Automation Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tase.2025.3574422
Citations
1
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
4.99

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article

A Filter-Based Extended State Observer With Arbitrary Noise Suppression Ability and Its Application to Drag-Free Spacecraft System

Bing Cui, Guotao Zhao, Yonghe Zhang, Yuanqing Xia et al.
1 citations
IEEE Transactions on Automation Science and Engineering
Inertial Sensor and Navigation
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article

A Filter-Based Extended State Observer With Arbitrary Noise Suppression Ability and Its Application to Drag-Free Spacecraft System

Bing Cui, Guotao Zhao, Yonghe Zhang, Yuanqing Xia, Pengcheng Wang
article en
1 citations

Abstract

In this work, we investigate the measurement noise sensitivity and peaking problem of the extended state observer (ESO) under high-gain characteristics. For a class of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i>-order nonlinear systems with measurement noise, a new variable-order filter and the corresponding filtered ESO (FESO) are constructed to achieve arbitrary suppression ability of measurement noise. Such a salient feature lies in the establishment of the variable-order filter with independent parameters such that the observer poles and the order of the proposed filter can be set arbitrarily by the designer, thereby allowing the user to predefine the suppression strength in prior by adjusting parameters. In addition, a peaking-free FESO is further proposed to eliminate the undesired peaking phenomenon during the transient state. Finally, a comprehensive numerical comparison is presented, and the proposed peaking-free FESO is applied to the drag-free spacecraft hardware in-loop platform. The simulation results reveal the advantages of the proposed scheme in measurement noise suppression and peaking elimination.

IEEE Transactions on Automation Science and EngineeringVol. 22
Beijing Institute of Technology (CN), Shanghai Micro Satellite Engineering Center (CN), Innovation Academy for Microsatellites of Chinese Academy of Sciences
National Natural Science Foundation of China
Openalex Percentile: Top 6%
Inertial Sensor and Navigation
4.99
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