z-logo
open-access-imgOpen Access
Robust Fixed-Time Inverse Dynamic Control for Uncertain Robot Manipulator System
Author(s) -
Yang Wang,
Mingshu Chen,
Yu Song
Publication year - 2021
Publication title -
complexity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 61
eISSN - 1099-0526
pISSN - 1076-2787
DOI - 10.1155/2021/6664750
Subject(s) - control theory (sociology) , computer science , scheme (mathematics) , differentiator , robust control , invertible matrix , stability (learning theory) , inverse , inverse dynamics , control (management) , control system , mathematics , kinematics , engineering , artificial intelligence , bandwidth (computing) , mathematical analysis , computer network , physics , geometry , classical mechanics , machine learning , pure mathematics , electrical engineering
This paper proposes a novel robust fixed-time control for the robot manipulator system with uncertainties. Based on the uniform robust exact differentiator (URED) algorithm, a robust control term is constructed. Then, a robust fixed-time inverse dynamics control (IDC) is proposed. For the proposed control method, the fixed-time stability of a closed-loop system with uncertainties is strictly proved. The newly proposed method exhibits the following two attractive features. First, the proposed control scheme extends the existing fixed-time IDC for the robot manipulator system to the robust control scheme. Second, the proposed method is strictly nonsingular rather than the commonly used approximate approach. Simulation result demonstrates the effectiveness of the proposed control scheme.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom