Modeling and Optimal Control for 2-DOF Differential Robot Joint Based on Cascade Extended State Observer

This paper presents a novel 2-degree-of-freedom (2-DOF) differential robot joint (DRJ), actuated by two permanent magnet synchronous motors (PMSMs), to enhance the load capacity and flexibility of robot joint. The dynamic model of the DRJ has been developed, explaining the coupling principles of the DRJ and the sources of system disturbances for the first time. A novel control system based on CESO and LQR was designed to address the challenges of observing high-order non-integral chain systems and the lack of robustness in traditional resonance suppression methods. Additionally, the main advantages of this innovative scheme include utilizing only motor-based sensors, exhibiting good load adaptability, and demonstrating an effective dynamic response. Simulation demonstrate that the proposed control strategy significantly improves the torque and velocity performance of the 2-DOF DRJ compared to traditional approaches.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.23919/icems60997.2024.10921175
Citations
1
Primary Topic
Industrial Technology and Control Systems
Type
article
Field-Weighted Citation Impact
0.33
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article

Modeling and Optimal Control for 2-DOF Differential Robot Joint Based on Cascade Extended State Observer

Zhe Liang, Yang Liang, Deliang Liang, Yuheng Wang
1 citations
Industrial Technology and Control Systems
0.33
article

Modeling and Optimal Control for 2-DOF Differential Robot Joint Based on Cascade Extended State Observer

Zhe Liang, Yang Liang, Deliang Liang, Yuheng Wang
article en
1 citations

Abstract

This paper presents a novel 2-degree-of-freedom (2-DOF) differential robot joint (DRJ), actuated by two permanent magnet synchronous motors (PMSMs), to enhance the load capacity and flexibility of robot joint. The dynamic model of the DRJ has been developed, explaining the coupling principles of the DRJ and the sources of system disturbances for the first time. A novel control system based on CESO and LQR was designed to address the challenges of observing high-order non-integral chain systems and the lack of robustness in traditional resonance suppression methods. Additionally, the main advantages of this innovative scheme include utilizing only motor-based sensors, exhibiting good load adaptability, and demonstrating an effective dynamic response. Simulation demonstrate that the proposed control strategy significantly improves the torque and velocity performance of the 2-DOF DRJ compared to traditional approaches.

State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University (CN)
Openalex Percentile: Top 36%
Industrial Technology and Control Systems
0.33
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