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Updated: Jun 5, 2026
06:58
A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
Published on: November 6, 2015
Adaptive super-twisting sliding mode control for robust tracking of wearable PAM-driven robotic manipulator
Solomon Ferede Ezez1, Daniel Gosaye Tesfaye1, Tofik Kemal Mohammed2
1Electrical and Computer Engineering, Wolaita Sodo University, 4620, Sodo, Ethiopia.
Scientific Reports
|June 3, 2026
Summary
This study introduces an Adaptive Finite Time Super-Twisting Sliding Mode Control (ASTSMC) for rehabilitation robots. The novel control strategy ensures precise trajectory tracking and enhances patient safety in robotic neurorehabilitation.
Area of Science:
- Robotics
- Control Systems
- Biomedical Engineering
Background:
- Pneumatic Artificial Muscle (PAM)-actuated robots offer safe, compliant rehabilitation alternatives.
- Precise control is challenging due to nonlinearities, friction, and disturbances.
Purpose of the Study:
- To develop an Adaptive Finite Time Super-Twisting Sliding Mode Control (ASTSMC) strategy.
- To achieve robust trajectory tracking for leg rehabilitation robots.
Main Methods:
- Developed a nonlinear dynamic model of a 2-DOF leg system using Euler-Lagrange formulation.
- Implemented an ASTSMC with adaptive gain for uncertainties and a second-order sliding mode law.
- Utilized Lyapunov stability analysis for finite-time convergence confirmation.
Main Results:
- ASTSMC demonstrated superior trajectory tracking accuracy and robustness against parameter variations.
- Significantly reduced chattering, enhancing patient comfort and safety.
- Validated through MATLAB/Simulink simulations.
Conclusions:
- The proposed ASTSMC is effective for precise control of PAM-actuated rehabilitation robots.
- The framework shows promise for advanced robotic neurorehabilitation in clinical settings.
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