Magnetorheological damper-based compliance control for hydraulic actuators in Legged Robots

Compliance control is essential for hydraulic legged robots to operate in unstructured environments. However, due to the inherently underdamped nature of valve-controlled cylinders, existing legged robots often struggle with foot impact and vibration. To address these challenges, this study presents a single-leg model and a damping compensation approach based on MRD. A hydraulic damping actuator (HDA) incorporating an MRD is installed at the drive joint to enhance damping performance. To mitigate force and displacement disturbances caused by foot-ground collisions, the proposed method employs an impedance control strategy with a force-based inner loop and a damping compensation strategy with a position-based outer loop. This dual-loop control effectively reduces displacement errors and internal pressure fluctuations. Additionally, a fuzzy controller is designed to realize resistance–impedance coupling between the MRD and the hydraulic actuator. Experimental results demonstrate that under step input conditions, the HDA reduces the maximum overshoot by 74.74% and shortens the settling time by 78.24%. During gait control, the damping compensation strategy significantly suppresses foot vibrations, decreasing the impact velocity by a factor of five. These findings confirm that the proposed HDA system and control algorithm substantially improve compliance control and effectively address the underdamped behavior of hydraulic actuators in legged robots.

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Publication Details

Journal
Journal of Intelligent Material Systems and Structures
Published
2026-01-02
DOI
https://doi.org/10.1177/1045389x251395460
Primary Topic
Robotic Locomotion and Control
Type
article
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article

Magnetorheological damper-based compliance control for hydraulic actuators in Legged Robots

Qinglong Liao, Baizhou Ma, Heng Du, Junshou Su et al.
Journal of Intelligent Material Systems and Structures
Robotic Locomotion and Control
article

Magnetorheological damper-based compliance control for hydraulic actuators in Legged Robots

Qinglong Liao, Baizhou Ma, Heng Du, Junshou Su, Xiufang Lin, Yuzheng Li, Hui Huang, Jiayi Zhou, Yunfeng Fu
article en

Abstract

Compliance control is essential for hydraulic legged robots to operate in unstructured environments. However, due to the inherently underdamped nature of valve-controlled cylinders, existing legged robots often struggle with foot impact and vibration. To address these challenges, this study presents a single-leg model and a damping compensation approach based on MRD. A hydraulic damping actuator (HDA) incorporating an MRD is installed at the drive joint to enhance damping performance. To mitigate force and displacement disturbances caused by foot-ground collisions, the proposed method employs an impedance control strategy with a force-based inner loop and a damping compensation strategy with a position-based outer loop. This dual-loop control effectively reduces displacement errors and internal pressure fluctuations. Additionally, a fuzzy controller is designed to realize resistance–impedance coupling between the MRD and the hydraulic actuator. Experimental results demonstrate that under step input conditions, the HDA reduces the maximum overshoot by 74.74% and shortens the settling time by 78.24%. During gait control, the damping compensation strategy significantly suppresses foot vibrations, decreasing the impact velocity by a factor of five. These findings confirm that the proposed HDA system and control algorithm substantially improve compliance control and effectively address the underdamped behavior of hydraulic actuators in legged robots.

Journal of Intelligent Material Systems and StructuresVol. 37(3)
Minjiang University (CN), Kangmei Pharmaceutical (China) (CN), Fuzhou University (CN), University of Science and Technology Beijing (CN)
Affordable and clean energy
Openalex Percentile: Top 99%
Robotic Locomotion and Control
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Magnetorheological damper-based compliance control for hydraulic actuators in Legged Robots — Qinglong Liao, Baizhou Ma, et al. · Journal of Intelligent Material Systems and Structures (2026) | TGRS Research Map | TGRS