Prescribed Performance Control for Robotic System with Communication Delays and Disturbances

This paper presents a Prescribed Performance Control (PPC) approach for robotic systems experiencing communication delay and disturbances. Under input and feedback delays, a state feedback controller is designed to maintain the output tracking error within prescribed performance specifications. Additionally, a super-twisting algorithm-based sliding-mode observer is proposed to estimate and compensate for external disturbance in the robotic system. Based on the Lyapunov method, appropriate controller parameters and observer gains are selected to ensure the accuracy of output tracking and disturbance estimation. Finally, the effectiveness of the proposed approach is validated through simulations on a nonlinear robotic system. The proposed method remains effective in the simultaneous presence of state measurement delay, control input delay, and disturbance.

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Publication Details

Journal
Electronics
Published
2025-10-28
DOI
https://doi.org/10.3390/electronics14214218
Primary Topic
Teleoperation and Haptic Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Prescribed Performance Control for Robotic System with Communication Delays and Disturbances

Shaobo Shen, Wanjie Zhang, Chuang Li, Yao Wang
Electronics
Teleoperation and Haptic Systems
article

Prescribed Performance Control for Robotic System with Communication Delays and Disturbances

Shaobo Shen, Wanjie Zhang, Chuang Li, Yao Wang
article en

Abstract

This paper presents a Prescribed Performance Control (PPC) approach for robotic systems experiencing communication delay and disturbances. Under input and feedback delays, a state feedback controller is designed to maintain the output tracking error within prescribed performance specifications. Additionally, a super-twisting algorithm-based sliding-mode observer is proposed to estimate and compensate for external disturbance in the robotic system. Based on the Lyapunov method, appropriate controller parameters and observer gains are selected to ensure the accuracy of output tracking and disturbance estimation. Finally, the effectiveness of the proposed approach is validated through simulations on a nonlinear robotic system. The proposed method remains effective in the simultaneous presence of state measurement delay, control input delay, and disturbance.

ElectronicsVol. 14(21)
Changzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 67%
Teleoperation and Haptic Systems
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