| Issue |
Int. J. Metrol. Qual. Eng.
Volume 16, 2025
|
|
|---|---|---|
| Article Number | 9 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/ijmqe/2025009 | |
| Published online | 10 December 2025 | |
Research Article
Nonlinear active disturbance rejection control for industrial robotic arm and its application
1
Engineering Training and Innovation Center, Zhengzhou University of Industrial Technology, Zhengzhou, 451100, PR China
2
College of Mechanical and Control Engineering, Baicheng Normal University, Baicheng, 137000, PR China
* Corresponding author: Teng.wwan@outlook.com
Received:
14
May
2025
Accepted:
13
August
2025
Industrial robotic arms are widely used, but they face control challenges in complex environments due to strong joint coupling, nonlinear dynamics, uncertain parameters, and external disturbances. Traditional control methods struggle to provide high precision and robustness under these conditions. Therefore, a nonlinear Active Disturbance Rejection Control (ADRC) method is proposed. This approach takes an extended state observer to estimate and compensate for total disturbances, enhancing accuracy and robustness. Experimental results show that the proposed method significantly improves response performance. In response to a step signal, the system shows clear dynamic changes. Under sine excitation, z1 and z2 closely match the input, while z3 shows minimal response. Compared to the traditional sliding mode control, which shows obvious error peaks and fluctuations (0.035–0.05 rad) at 10–15 s, the nonlinear ADRC sliding mode control achieves 30% faster response speed, 60% smaller overshoot, and more stable performance with errors consistently below 0.01 rad. This method effectively observes state variables and disturbances, optimizing motion control and offering a reliable solution for high-performance control of industrial robotic arms.
Key words: Industrial robotic arm / nonlinear ADRC / ESO / nonlinear state error feedback / tracking differentiator
© Z. Geng and T. Wan, Published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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