Attitude Estimation for Drilling Tools Based on Robust State-Constrained Zonotopic Observer

Attitude estimation for drilling tools is critical in drilling engineering. However, existing state estimation studies are insufficient in bounded constraint utilization, uncertainty description and disturbance robustness. This paper proposes a robust state-constrained zonotopic observer where bounded constraints are augmented and measurement disturbance bounds are adaptively estimated by residuals. Then, the theoretical analysis proves that state constraints can reduce the size of the error set. Particularly, the error boundedness and the disturbance robustness are guaranteed through state range constraints. Finally, simulation and experimental results illustrate that the proposed method makes full use of constraints and has higher estimation accuracy and stronger disturbance robustness than existing methods.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-06-24
DOI
https://doi.org/10.1109/jsen.2025.3580855
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Attitude Estimation for Drilling Tools Based on Robust State-Constrained Zonotopic Observer

Yanfeng Geng, Jing Ye, Yisen Yang, Weiliang Wang
IEEE Sensors Journal
Fault Detection and Control Systems
article

Attitude Estimation for Drilling Tools Based on Robust State-Constrained Zonotopic Observer

Yanfeng Geng, Jing Ye, Yisen Yang, Weiliang Wang
article en

Abstract

Attitude estimation for drilling tools is critical in drilling engineering. However, existing state estimation studies are insufficient in bounded constraint utilization, uncertainty description and disturbance robustness. This paper proposes a robust state-constrained zonotopic observer where bounded constraints are augmented and measurement disturbance bounds are adaptively estimated by residuals. Then, the theoretical analysis proves that state constraints can reduce the size of the error set. Particularly, the error boundedness and the disturbance robustness are guaranteed through state range constraints. Finally, simulation and experimental results illustrate that the proposed method makes full use of constraints and has higher estimation accuracy and stronger disturbance robustness than existing methods.

IEEE Sensors JournalVol. 25(15)
China University of Petroleum, East China (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Fundamental Research Funds for the Central Universities
Climate action
Openalex Percentile: Top 84%
Fault Detection and Control Systems
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Attitude Estimation for Drilling Tools Based on Robust State-Constrained Zonotopic Observer — Yanfeng Geng, Jing Ye, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS