Sliding-mode control based on prescribed performance function and its application to a SEA-Based lower limb exoskeleton

A sliding-mode control based on a prescribed performance function is proposed for discrete-time single-input single-output systems. The controller design aims to maintain the tracking error in a predefined convergence zone described by a performance function. However, due to the fixed structure of the controller, the applicability and universality of this method are limited. To address this issue, we separate the controller into two parts and analyze the principle of the prescribed performance control (PPC) method. Then we can replace the linear part of the controller with model-based control methods to adapt to the specific characteristics of the controlled system. Compared with current works, when the established system model is inaccurate, we can enhance the smoothness or response speed of the system by introducing a penalty constant to alter the system's transient characteristics while the tracking error is within the prescribed domain. Finally, numerical comparison simulations and a lower limb exoskeleton experiment illustrate the established results and the effectiveness of the proposed method.

Authors

Institutions

Publication Details

Journal
Frontiers in Robotics and AI
Published
2025-03-04
DOI
https://doi.org/10.3389/frobt.2025.1534040
Primary Topic
Prosthetics and Rehabilitation Robotics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sliding-mode control based on prescribed performance function and its application to a SEA-Based lower limb exoskeleton

Chengchao Wang, Ning Li, Liang Zhang, Tian Wang et al.
Frontiers in Robotics and AI
Prosthetics and Rehabilitation Robotics
article

Sliding-mode control based on prescribed performance function and its application to a SEA-Based lower limb exoskeleton

Chengchao Wang, Ning Li, Liang Zhang, Tian Wang, Feilong Zhang, Yu Lu, Bi Zhang, Enming Shi
article en

Abstract

A sliding-mode control based on a prescribed performance function is proposed for discrete-time single-input single-output systems. The controller design aims to maintain the tracking error in a predefined convergence zone described by a performance function. However, due to the fixed structure of the controller, the applicability and universality of this method are limited. To address this issue, we separate the controller into two parts and analyze the principle of the prescribed performance control (PPC) method. Then we can replace the linear part of the controller with model-based control methods to adapt to the specific characteristics of the controlled system. Compared with current works, when the established system model is inaccurate, we can enhance the smoothness or response speed of the system by introducing a penalty constant to alter the system's transient characteristics while the tracking error is within the prescribed domain. Finally, numerical comparison simulations and a lower limb exoskeleton experiment illustrate the established results and the effectiveness of the proposed method.

Frontiers in Robotics and AIVol. 12
Shenyang Institute of Automation (CN), Chinese Academy of Sciences (CN), Fourth Affiliated Hospital of China Medical University (CN), Liaoning Provincial People's Hospital (CN), University of Chinese Academy of Sciences (CN), China Medical University (CN)
Life below water
Openalex Percentile: Top 96%
Prosthetics and Rehabilitation Robotics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Sliding-mode control based on prescribed performance function and its application to a SEA-Based lower limb exoskeleton — Chengchao Wang, Ning Li, et al. · Frontiers in Robotics and AI (2025) | TGRS Research Map | TGRS