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Related Experiment Video

Updated: Nov 7, 2025

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
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Finite-Time Dynamic Tracking Control of Parallel Robots with Uncertainties and Input Saturation.

Mengyang Ye1, Guoqin Gao1, Junwen Zhong1

  • 1School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China.

Sensors (Basel, Switzerland)
|April 30, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel finite-time control for parallel robots, enhancing tracking accuracy and robustness. The method effectively addresses uncertainties and input saturation, improving robot performance.

Keywords:
auxiliary systemdisturbance observerfinite-time controlinput saturationnonsingular terminal sliding modeparallel robot

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Area of Science:

  • Robotics
  • Control Systems Engineering
  • Mechatronics

Background:

  • Parallel robots face challenges with dynamic tracking control due to uncertainties and input saturation.
  • Existing control methods often struggle to achieve finite-time convergence and robustness.

Purpose of the Study:

  • To develop a finite-time nonsingular terminal sliding mode control (FS-NTSMC) scheme for parallel robots.
  • To enhance tracking performance, accuracy, and robustness in the presence of uncertainties and input saturation.
  • To mitigate the chattering phenomenon common in sliding mode control.

Main Methods:

  • A disturbance observer (DO) estimates lumped disturbances in the robot's dynamic model.
  • A novel finite-time convergent auxiliary system compensates for input saturation using fractional exponential powers.
  • The proposed FS-NTSMC integrates disturbance estimation and auxiliary system states for improved control.

Main Results:

  • The control scheme achieves finite-time convergence and improves control accuracy and robustness.
  • Disturbance estimation and compensation effectively reduce the control gain, alleviating chattering.
  • Finite-time stability of the closed-loop system is rigorously proven using Lyapunov theory.

Conclusions:

  • The proposed finite-time control strategy is effective for parallel robots with uncertainties and input saturation.
  • The method offers superior performance compared to conventional approaches, demonstrated through simulations and experiments.
  • This work contributes to advancing precise and reliable control for parallel robotic systems.