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Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand
Published on: May 20, 2020
Novel robust control of a 7-DOF exoskeleton robot
Mehran Rahmani1, Mohammad Habibur Rahman1
1Mechanical Engineering Department, University of Wisconsin-Milwaukee, Milwaukee, WI, United States of America.
This study introduces a new robust control method for 7-DOF exoskeleton robots, combining fractional PID and sliding mode control for improved trajectory tracking and stability against disturbances.
Area of Science:
- Robotics
- Control Systems Engineering
- Mechatronics
Background:
- 7-DOF exoskeleton robots face instability due to external disturbances like friction, mass variations, backlash, and input saturation.
- Existing controllers like Fractional PID (FPID) offer good trajectory tracking but lack robustness.
- New fractional sliding mode controllers (NFSMC) provide robustness but may not optimize trajectory tracking.
Purpose of the Study:
- To develop a novel robust control method for 7-DOF exoskeleton robots.
- To enhance trajectory tracking accuracy while maintaining robustness against uncertainties and disturbances.
- To address the limitations of existing control strategies in complex robotic systems.
Main Methods:
- Design of a New Fractional Sliding Mode Controller (NFSMC) for disturbance rejection.
- Integration of NFSMC with a Fractional PID controller (FPID) to create a compound controller (NCFPIDSMC).
- Stability analysis using Lyapunov theory and validation through random noise injection.
Main Results:
- The proposed compound fractional PID sliding mode controller (NCFPIDSMC) effectively enhances trajectory tracking.
- The NCFPIDSMC demonstrates significant robustness against external disturbances and unknown dynamics.
- Stability of the control method is rigorously verified through theoretical analysis and simulation.
Conclusions:
- The NCFPIDSMC offers a superior control solution for 7-DOF exoskeleton robots, balancing trajectory tracking and robustness.
- This novel approach addresses critical challenges in exoskeleton robot control, paving the way for more reliable applications.
- The method's effectiveness is confirmed, suggesting its potential for real-world implementation in assistive and rehabilitation robotics.
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