A Capturability-based Control Framework for the Underactuated Bipedal Walking
Haihui Yuan, Sumian Song, Ruilong Du, Shiqiang Zhu, Jason Gu, Mingguo Zhao, Jianxin Pang
Abstract
This work considers the control of underactuated bipedal walking, and a novel capturability-based control framework is presented. Compared with traditional approaches, the presented control method does not rely on the use of the Poincaré map, which may take significant computational cost. Firstly, a new definition of stable walking is presented, and a novel foot-placement based control method is proposed. Then, a controller design method is presented based on this control method. For the controller design, the foot placement adjustment is achieved by updating the virtual constraints using a heuristic method, and an improved virtual constraint control method is proposed to enforce the virtual constraints. Finally, the effectiveness of the presented control framework is illustrated on a five-link underactuated planar biped by numerical simulations.
BibTeX
@inproceedings{icra2021_acapturabilityba,
title = {A Capturability-based Control Framework for the Underactuated Bipedal Walking},
author = {Haihui Yuan and Sumian Song and Ruilong Du and Shiqiang Zhu and Jason Gu and Mingguo Zhao and Jianxin Pang},
booktitle = {ICRA 2021},
year = {2021}
}