Research on testing platform for hydraulic legged robot joint control system

In order to test the control performance of the hydraulic legged robot joint control system, a hydraulic legged robot joint control system testing platform was developed. The mechanical structure, hydraulic system, and measurement-and-control system of the testing platform were introduced. In order to improve the force control performance of the load simulation system, a damping hole was connected in parallel between the two chambers of the load simulation cylinder, and a force PID control strategy with a position control signal feed-forward compensation was used. The simulation model of the testing platform was established in MATLAB/Simulink, and the simulation results showed that the load simulation system had good loading performance, and the two-stage supply pressure energy-saving joint control system had good control performance and energy-saving performance. Finally, the testing platform was applied to carry out the experimental research, and the results showed that: (1)The testing platform could realize the load force loading, whose frequency width was 3.5 Hz; (2) The control strategy with damping hole and feed-forward compensation used in the load simulation system reduces the root-mean-square error concerning the reference force by 62.11% compared to PID when performing hip load force loading; (3)The joint control system adopted the two-stage supply pressure oil source (TSS) of 15 MPa + 9 MPa, which could save 37.56% and 25.82% of the energy in tracking the planning trajectory of the knee and hip joints respectively, in comparison with that of the single oil source of 15 MPa.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Published
2025-11-27
DOI
https://doi.org/10.1177/09544062251388842
Primary Topic
Robotic Locomotion and Control
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on testing platform for hydraulic legged robot joint control system

Ziqi Liu, Hao Wang, Bo Jin, Haoxiang Chen et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Robotic Locomotion and Control
article

Research on testing platform for hydraulic legged robot joint control system

Ziqi Liu, Hao Wang, Bo Jin, Haoxiang Chen, Yaxin Yu, Z. Weng
article en

Abstract

In order to test the control performance of the hydraulic legged robot joint control system, a hydraulic legged robot joint control system testing platform was developed. The mechanical structure, hydraulic system, and measurement-and-control system of the testing platform were introduced. In order to improve the force control performance of the load simulation system, a damping hole was connected in parallel between the two chambers of the load simulation cylinder, and a force PID control strategy with a position control signal feed-forward compensation was used. The simulation model of the testing platform was established in MATLAB/Simulink, and the simulation results showed that the load simulation system had good loading performance, and the two-stage supply pressure energy-saving joint control system had good control performance and energy-saving performance. Finally, the testing platform was applied to carry out the experimental research, and the results showed that: (1)The testing platform could realize the load force loading, whose frequency width was 3.5 Hz; (2) The control strategy with damping hole and feed-forward compensation used in the load simulation system reduces the root-mean-square error concerning the reference force by 62.11% compared to PID when performing hip load force loading; (3)The joint control system adopted the two-stage supply pressure oil source (TSS) of 15 MPa + 9 MPa, which could save 37.56% and 25.82% of the energy in tracking the planning trajectory of the knee and hip joints respectively, in comparison with that of the single oil source of 15 MPa.

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering ScienceVol. 240(4)
Ningbo University (CN), Zhejiang Sci-Tech University (CN), Ningxia Machinery Research Institute (China) (CN), China Jiliang University (CN), Zhejiang University (CN)
Openalex Percentile: Top 64%
Robotic Locomotion and Control
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