Contour Tracking Control for High-Order Fully Actuated Multi-Axis Motion Control Systems

This paper investigates the contour tracking control problem for a class of multi-axis motion control systems (MAMSs) with parameter uncertainties and external disturbances. First, a high-order fully actuated (HOFA) tracking error model of the MAMSs is established, and a fully actuated controller is designed to transform it into a linear constant system model with arbitrarily configurable poles. Second, parameter uncertainties and external disturbances are regarded as lumped disturbances of the system according to the concept of equivalent input disturbance (EID), and a generalized extended state observer (GESO) is designed to estimate the lumped disturbance. Then, the tracking controller for the single-axis is designed via the model predictive control (MPC) method in order to compensate for the disturbance effect through a feed-forward control method. On this basis, a cross-coupled control (CCC) strategy is used to further compensate the contour tracking error of MAMSs. The effectiveness of the proposed method are verified through a simulation of a two-axis motion control system.

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Publication Details

Published
2025-03-26
DOI
https://doi.org/10.1109/icit63637.2025.10965133
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Contour Tracking Control for High-Order Fully Actuated Multi-Axis Motion Control Systems

Cassandra Hua, Caoyuan Gu, Qi Wu, Yao-Wei Wang et al.
Iterative Learning Control Systems
article

Contour Tracking Control for High-Order Fully Actuated Multi-Axis Motion Control Systems

Cassandra Hua, Caoyuan Gu, Qi Wu, Yao-Wei Wang, Wen-An Zhang, Shigeyuki Takagi
article en

Abstract

This paper investigates the contour tracking control problem for a class of multi-axis motion control systems (MAMSs) with parameter uncertainties and external disturbances. First, a high-order fully actuated (HOFA) tracking error model of the MAMSs is established, and a fully actuated controller is designed to transform it into a linear constant system model with arbitrarily configurable poles. Second, parameter uncertainties and external disturbances are regarded as lumped disturbances of the system according to the concept of equivalent input disturbance (EID), and a generalized extended state observer (GESO) is designed to estimate the lumped disturbance. Then, the tracking controller for the single-axis is designed via the model predictive control (MPC) method in order to compensate for the disturbance effect through a feed-forward control method. On this basis, a cross-coupled control (CCC) strategy is used to further compensate the contour tracking error of MAMSs. The effectiveness of the proposed method are verified through a simulation of a two-axis motion control system.

Tokyo University of Technology (JP), Wuhan University of Science and Technology (CN), Zhejiang University of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 91%
Iterative Learning Control Systems
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Contour Tracking Control for High-Order Fully Actuated Multi-Axis Motion Control Systems — Cassandra Hua, Caoyuan Gu, et al. · (2025) | TGRS Research Map | TGRS