Design and Implementation of a High-Precision Motor Control System for Adjustable-Stiffness Biomedical Treadmills

This paper presents a novel motor control system for a biomedical treadmill featuring adjustable stiffness, tailored to enhance rehabilitation and gait training. Unlike conventional treadmill systems, the proposed design incorporates an advanced dual-stepper motor configuration with scissor lift mechanism for precise side stiffness adjustment. Alongside an adaptive position control system based on model predictive control with dynamic weight compensation, the resultant system is enabling accurate and responsive body positioning under varying operation conditions. This innovative control system delivers rapid, accurate, and versatile stiffness modulation, offering significant improvements in adaptability and user experience for clinical and research applications. A <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{7 0 0} \mathbf{~ W}$</tex> platform prototype has been developed to showcase the system's capabilities, bridging the gap between theoretical insights and practical implementation. The system's performance is rigorously validated through simulation and experimental testing, demonstrating exceptional dynamic response within 0.5 seconds, a maximum stepper motor speed of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$3,657.6$</tex> RPM, and track displacement accuracy of 0.025 mm. The experimental results align closely with theoretical predictions, highlighting the system's robustness and reliability. This work introduces a control approach for next-generation rehabilitation treadmills, that are able to adjust surface stiffness.

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Published
2025-04-11
DOI
https://doi.org/10.1109/dcas65331.2025.11045477
Citations
1
Primary Topic
Muscle activation and electromyography studies
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article
Field-Weighted Citation Impact
0.67
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article

Design and Implementation of a High-Precision Motor Control System for Adjustable-Stiffness Biomedical Treadmills

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1 citations
Muscle activation and electromyography studies
0.67
article

Design and Implementation of a High-Precision Motor Control System for Adjustable-Stiffness Biomedical Treadmills

Trevor Exley, Amir Jafari, Ken King Man Siu, James Jenkins, Omar Madera, Cristian Guerrero, Kirk Humes, Adam Malmquist, Caleb Renfrew, Quintin Bakker
article en
1 citations

Abstract

This paper presents a novel motor control system for a biomedical treadmill featuring adjustable stiffness, tailored to enhance rehabilitation and gait training. Unlike conventional treadmill systems, the proposed design incorporates an advanced dual-stepper motor configuration with scissor lift mechanism for precise side stiffness adjustment. Alongside an adaptive position control system based on model predictive control with dynamic weight compensation, the resultant system is enabling accurate and responsive body positioning under varying operation conditions. This innovative control system delivers rapid, accurate, and versatile stiffness modulation, offering significant improvements in adaptability and user experience for clinical and research applications. A <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{7 0 0} \mathbf{~ W}$</tex> platform prototype has been developed to showcase the system's capabilities, bridging the gap between theoretical insights and practical implementation. The system's performance is rigorously validated through simulation and experimental testing, demonstrating exceptional dynamic response within 0.5 seconds, a maximum stepper motor speed of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$3,657.6$</tex> RPM, and track displacement accuracy of 0.025 mm. The experimental results align closely with theoretical predictions, highlighting the system's robustness and reliability. This work introduces a control approach for next-generation rehabilitation treadmills, that are able to adjust surface stiffness.

University of North Texas (US)
Affordable and clean energy
Openalex Percentile: Top 30%
Muscle activation and electromyography studies
0.67
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