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Updated: Jun 9, 2026

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Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion
Published on: February 5, 2020
Robust neuro-sliding mode multivariable control strategy for powered wheelchairs.
Tuan Nghia Nguyen1, Steven W Su, Hung T Nguyen
1Faculty of Engineering, University of Technology, Sydney, NSW 2007, Australia. tnnguyen@eng.uts.edu.au
Summary
This study introduces a robust control strategy for powered wheelchairs, enhancing stability and performance. The advanced neuro-sliding mode approach ensures reliable operation despite uncertainties and disturbances.
Area of Science:
- Robotics
- Control Systems Engineering
- Biomedical Engineering
Background:
- Powered wheelchairs require advanced control for safe and effective operation.
- Existing control systems face challenges with parameter uncertainties and external disturbances.
- Robustness and optimal performance are critical for multivariable systems like powered wheelchairs.
Purpose of the Study:
- To propose an advanced robust multivariable control strategy for powered wheelchair systems.
- To enhance the real-time adaptability and performance of powered wheelchairs.
- To address limitations of existing control methods, such as coupling effects and chattering.
Main Methods:
- Combines systematic triangularization technique with robust neuro-sliding mode control.
- Employs real-time adaptation to handle parameter uncertainties and external disturbances.
- Focuses on reducing coupling effects and eliminating chattering phenomena.
Main Results:
- The novel strategy effectively manages parameter uncertainties and external disturbances.
- Achieved reduced coupling effects and eliminated chattering in the multivariable system.
- Demonstrated fast and global convergence with reduced computational load.
- Real-time implementation on a powered wheelchair system confirmed effectiveness.
Conclusions:
- The proposed robust multivariable control strategy guarantees system robustness and desired performance.
- The strategy is effective even under conditions of parameter uncertainty and external disturbances.
- This approach offers a significant advancement for powered wheelchair control systems.
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