Acceleration Measurement-Free Dissipative Disturbance Observer for Robotic Manipulators

In this letter, we propose an Acceleration Measurement-Free Dissipative Disturbance Observer (AFDDO) for robotic manipulators, designed to estimate external disturbances robustly without requiring angular acceleration measurements and matrix inversion. By leveraging dissipativity theory, the AFDDO achieves enhanced robustness and stability against fast-varying disturbances. A linear matrix inequality (LMI)-based approach is employed for observer gain tuning, enabling efficient computation and control of observer bandwidth. Unlike conventional methods, the AFDDO eliminates the need for matrix inversion and utilizes generalized momentum to maintain an acceleration measurement-free condition. The proposed observer was validated through simulations and experiments using a mini-hydraulic excavator, demonstrating superior performance in disturbance estimation compared to existing nonlinear disturbance observers.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-04-24
DOI
https://doi.org/10.1109/lra.2025.3564205
Citations
1
Primary Topic
Advanced MEMS and NEMS Technologies
Type
article
Field-Weighted Citation Impact
0.73
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article

Acceleration Measurement-Free Dissipative Disturbance Observer for Robotic Manipulators

Yeonho Ko, Chanwoo Kim, Sung-Wook Kim, Dae Hie Hong
1 citations
IEEE Robotics and Automation Letters
Advanced MEMS and NEMS Technologies
0.73
article

Acceleration Measurement-Free Dissipative Disturbance Observer for Robotic Manipulators

Yeonho Ko, Chanwoo Kim, Sung-Wook Kim, Dae Hie Hong
article en
1 citations

Abstract

In this letter, we propose an Acceleration Measurement-Free Dissipative Disturbance Observer (AFDDO) for robotic manipulators, designed to estimate external disturbances robustly without requiring angular acceleration measurements and matrix inversion. By leveraging dissipativity theory, the AFDDO achieves enhanced robustness and stability against fast-varying disturbances. A linear matrix inequality (LMI)-based approach is employed for observer gain tuning, enabling efficient computation and control of observer bandwidth. Unlike conventional methods, the AFDDO eliminates the need for matrix inversion and utilizes generalized momentum to maintain an acceleration measurement-free condition. The proposed observer was validated through simulations and experiments using a mini-hydraulic excavator, demonstrating superior performance in disturbance estimation compared to existing nonlinear disturbance observers.

IEEE Robotics and Automation LettersVol. 10(6)
Korea University (KR)
Openalex Percentile: Top 29%
Advanced MEMS and NEMS Technologies
0.73
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