Ground Reaction Force Estimation in Robotic Prosthesis using Super-twisting Extended State Observer

被引：0

作者：

Huang, Yongshan ^{[1
]}

Ma, Hongxu ^{[1
]}

Zhang, Jin ^{[1
]}

An, Honglei ^{[1
]}

机构：

[1] Natl Univ Def Technol, Coll Intelligence Sci & Technol, Robot Res Ctr, Changsha 410073, Peoples R China

来源：

2021 6TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM 2021) | 2021年

基金：

国家重点研发计划;

关键词：

WALKING; SIMULATION; GAIT;

D O I：

10.1109/ICARM52023.2021.9536209

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A ground reaction forces (GRFs) estimation method based on super-twisting extended state observer (STESO) for robotic prosthesis is proposed. The load cells and pressure sensors are not needed for the proposed method, and also the model of GRFs, hence it could adapt to different terrain environments. The GRFs estimate method uses a globally integral and super-twisting sliding model, which enables the observation error to converge to zero in finite time, and the GRFs estimator would not crash even if the initial estimation error is large. The stability and finite time convergence of the observer is rigorously proved and analyzed mathematically. The simulation results prove the feasibility and effectiveness of the proposed GRFs estimates method.

引用

页码：262 / 266

页数：5

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