Design and Evaluation of Torque Compensation Controllers for a Lower Extremity Exoskeleton
Xianlian Zhou, Xinyu Chen

TL;DR
This study develops and evaluates torque compensation controllers for a lower extremity exoskeleton, demonstrating significant reductions in biomechanical loads during running, and introduces a human-in-the-loop simulation paradigm for design optimization.
Contribution
It presents two novel torque compensation controllers and a human-in-the-loop simulation framework for designing and evaluating lower limb exoskeletons.
Findings
Maximizing assistance controller reduces knee torque by nearly 50%.
Exoskeleton assistance decreases muscle activation by over 50%.
Added weight increases ground reaction forces and joint reaction forces.
Abstract
In this paper, we present an integrated human-in-the-loop simulation paradigm for the design and evaluation of a lower extremity exoskeleton that is elastically strapped onto human lower limbs. The exoskeleton has 3 rotational DOFs on each side and weighs 23kg. Two torque compensation controllers of the exoskeleton are introduced, aiming to minimize interference and maximize assistance to human motions, respectively. Their effects on the wearer's biomechanical loadings are studied with a running motion and predicted ground reaction forces. It is found that the added weight of the passive exoskeleton substantially increases the wearer's musculoskeletal loadings. The maximizing assistance controller reduces the knee joint torque by almost a half when compared to the passive exoskeleton and the resultant torque is only 72% of that from the normal running without exoskeleton. When compared…
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Taxonomy
TopicsProsthetics and Rehabilitation Robotics · Muscle activation and electromyography studies · Stroke Rehabilitation and Recovery
