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Published April 2016 | public
Journal Article

Multicontact Locomotion on Transfemoral Prostheses via Hybrid System Models and Optimization-Based Control

Abstract

Lower-limb prostheses provide a prime example of cyber-physical systems (CPSs) requiring the synergistic development of sensing, algorithms, and controllers. With a view towards better understanding CPSs of this form, this paper presents a systematic methodology using multidomain hybrid system models and optimization-based controllers to achieve human-like multicontact prosthetic walking on a custom-built prosthesis: AMPRO. To achieve this goal, unimpaired human locomotion data is collected and the nominal multicontact human gait is studied. Inspired by previous work which realized multicontact locomotion on the bipedal robot AMBER2, a hybrid system-based optimization problem utilizing the collected reference human gait as reference is utilized to formally design stable multicontact prosthetic gaits that can be implemented on the prosthesis directly. Leveraging control methods that stabilize bipedal walking robots–control Lyapunov function-based quadratic programs coupled with variable impedance control–an online optimization-based controller is formulated to realize the designed gait in both simulation and experimentally on AMPRO. Improved tracking and energy efficiency are seen when this methodology is implemented experimentally. Importantly, the resulting multicontact prosthetic walking captures the essentials of natural human walking both kinematically and kinetically.

Additional Information

© 2016 IEEE. Manuscript received June 16, 2015; revised December 10, 2015; accepted January 15, 2016. Date of publication March 03, 2016; date of current version April 05, 2016. This paper was recommended for publication by Editor J. Wen upon evaluation of the reviewers' comments. This work was supported by the National Science Foundation (NSF) CAREER Award CNS-0953823 and in part by the Texas Emerging Technology Fund under Grant 11062-013. This research was approval by the Institutional Review Board under IRB2014-0382F for testing with human subjects.

Additional details

Created:
August 20, 2023
Modified:
October 20, 2023