Improved active disturbance rejection control-based research on trajectory tracking for multi-degree-of-freedom manipulators

To improve the trajectory tracking accuracy and disturbance rejection capabilities of multi-degree-of-freedom robotic arms, this paper proposes an enhanced Active Disturbance Rejection Control (ADRC) strategy. This strategy involves designing a modified Extended State Observer (ESO) based on nonlinear functions to monitor internal disturbances and the extended state of the control system, which encompasses nonlinear factors, internal model uncertainties, and external disturbances. A Fuzzy proportional-derivative(PD) control controller is employed to mitigate residual errors. Simulation and experimental results demonstrate that the improved ADRC-based trajectory tracking system significantly outperforms traditional control strategies in terms of tracking accuracy and disturbance rejection.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1117/12.3055347
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

Improved active disturbance rejection control-based research on trajectory tracking for multi-degree-of-freedom manipulators

Tingyi Wu, Yongheng Zhang, Qinglie Yuan, Duanyuan Bai et al.
Adaptive Control of Nonlinear Systems
article

Improved active disturbance rejection control-based research on trajectory tracking for multi-degree-of-freedom manipulators

Tingyi Wu, Yongheng Zhang, Qinglie Yuan, Duanyuan Bai, Yingjie Shi, Ruize Li
article en

Abstract

To improve the trajectory tracking accuracy and disturbance rejection capabilities of multi-degree-of-freedom robotic arms, this paper proposes an enhanced Active Disturbance Rejection Control (ADRC) strategy. This strategy involves designing a modified Extended State Observer (ESO) based on nonlinear functions to monitor internal disturbances and the extended state of the control system, which encompasses nonlinear factors, internal model uncertainties, and external disturbances. A Fuzzy proportional-derivative(PD) control controller is employed to mitigate residual errors. Simulation and experimental results demonstrate that the improved ADRC-based trajectory tracking system significantly outperforms traditional control strategies in terms of tracking accuracy and disturbance rejection.

Changchun University of Science and Technology (CN)
Reduced inequalities
Openalex Percentile: Top 73%
Adaptive Control of Nonlinear Systems
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