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Experimental demonstration of an actuated exercise machine.

X T Zhang¹, D M Dawson, W E Dixon

¹Dept. of Electr. & Comput. Eng., Clemson Univ., SC, USA.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference

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Summary

This study introduces a novel exercise machine prototype designed to maximize user power output. It uses an extremum-seeking algorithm and nonlinear controller to optimize user energy expenditure and ensure safety through passivity.

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Area of Science:

Biomechanics and Exercise Physiology
Robotics and Control Systems
Human-Machine Interaction

Background:

Current exercise machines often lack personalization, limiting optimal user power output.
Ensuring user safety and preventing injury requires maintaining machine passivity.
Optimizing energy expenditure is key for effective and efficient training.

Purpose of the Study:

To develop and validate a next-generation exercise machine prototype.
To maximize user power output through personalized velocity setpoints.
To guarantee user safety by ensuring machine passivity.

Main Methods:

A single degree of freedom prototype exercise machine was used.
A numerical extremum-seeking algorithm identified user-dependent optimal velocity setpoints.
A nonlinear controller tracked the reference trajectory and ensured passivity.

Main Results:

Experimental results demonstrate the feasibility of the proposed system.
The extremum-seeking algorithm successfully identified optimal velocity setpoints.
The nonlinear controller effectively tracked the desired trajectory and maintained passivity.

Conclusions:

The developed exercise machine effectively maximizes user power output.
The system ensures user safety through guaranteed passivity.
This approach offers a promising direction for personalized and safe exercise equipment.