Development and Hybrid Control of an Electrically Actuated Lower Limb Exoskeleton for Motion Assistance
Clicks: 97
ID: 275881
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
28.8
/100
97 views
32 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #290 of 308 articles by views in ieee access
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 308 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
This paper describes a system design and hybrid control algorithm of an electrically actuated lower limb exoskeleton (LLE). The system design mainly includes three parts: mechanical structure design, actuation system design and sensor system design. According to the initial state of the joint angle, LLE can be divided into Non-anthropomorphic state (NAS) and anthropomorphic state (AS). The human motion intention (HMI) estimation can be divided into gait phase classification and reference trajectory estimation. The fuzzy logic is used to detect different phases in the gait phase classification. In the reference trajectory estimation, the kinematic model of the LLE is utilized to obtain a continuous joint trajectory, which is used as input of the control law. To make the LLE accurately follow the movement of people and remain stable, a hybrid dual-mode control strategy is proposed in this paper, i.e., the adaptive impedance control (AIC) method is used to improve the stability and resistance to shock in stance phase, and the active disturbance rejection control with the fast terminal sliding mode control (ADRC-FTSMC) method is employed to improve the response speed and the tracking precision in swing phase. Furthermore, in order to solve the torque discontinuity in the switching process, a smoothing method is proposed during the transition. Finally, the prototype experiments were set up to verify the tracking performance and power-assisted effect of the proposed exoskeleton. The experiments results show the LLE can achieve excellent tracking performance and power-assisted effect based on the proposed HMI methodology and hybrid dual-mode control strategy.
| Reference Key |
chen2019developmentieee
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Chen, Chao-Feng;Du, Zhi-Jiang;He, Long;Shi, Yong-Jun;Wang, Jia-Qi;Xu, Guo-Qiang;Zhang, Yu;Wu, Dong-Mei;Dong, Wei; |
| Journal | ieee access |
| Year | 2019 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
microscopy
Medicine (General)
Engineering (General). Civil engineering (General)
Technology
Electrical engineering. Electronics. Nuclear engineering
Descriptive and experimental mechanics
neoplasms. tumors. oncology. including cancer and carcinogens
ophthalmology
diseases of the genitourinary system. urology
|
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.