Research on high-speed and high-precision contour control technology of industrial robots

This study addresses trajectory accuracy degradation in industrial robots under high-speed motion, caused by nonlinear dynamic disturbances, multi-axis coupling effects, and contour error accumulation. A novel contour control method integrating dynamic singularity avoidance with multimodal compensation is proposed.Leveraging a rigid-body dynamic model of a 6-DOF robot, screw theory is employed to construct a singularity configuration map. A real-time avoidance strategy with Jacobian matrix condition number thresholds is developed to mitigate contour distortion risks during high-speed operation.A hierarchical control architecture is designed: the upper layer implements dynamic multi-axis contour error compensation via modified cross-coupled control, while the lower layer integrates adaptive sliding-mode robust control with RBF neural network disturbance observers to suppress parameter perturbations and external disturbances.[1]

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Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1145/3756423.3756530
Primary Topic
Iterative Learning Control Systems
Type
article
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article

Research on high-speed and high-precision contour control technology of industrial robots

Yunxia Qi, Jun Zhong, Kun Han
Iterative Learning Control Systems
article

Research on high-speed and high-precision contour control technology of industrial robots

Yunxia Qi, Jun Zhong, Kun Han
article en

Abstract

This study addresses trajectory accuracy degradation in industrial robots under high-speed motion, caused by nonlinear dynamic disturbances, multi-axis coupling effects, and contour error accumulation. A novel contour control method integrating dynamic singularity avoidance with multimodal compensation is proposed.Leveraging a rigid-body dynamic model of a 6-DOF robot, screw theory is employed to construct a singularity configuration map. A real-time avoidance strategy with Jacobian matrix condition number thresholds is developed to mitigate contour distortion risks during high-speed operation.A hierarchical control architecture is designed: the upper layer implements dynamic multi-axis contour error compensation via modified cross-coupled control, while the lower layer integrates adaptive sliding-mode robust control with RBF neural network disturbance observers to suppress parameter perturbations and external disturbances.[1]

China Automotive Engineering Research Institute (CN), Wuhan Technical College of Communications (CN)
Openalex Percentile: Top 69%
Iterative Learning Control Systems
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Research on high-speed and high-precision contour control technology of industrial robots — Yunxia Qi, Jun Zhong, et al. · (2025) | TGRS Research Map | TGRS