Prescribed-Time Control for Perturbed Euler-Lagrange Systems With Obstacle Avoidance

成果类型:
Article
署名作者:
Shakouri, Amir; Assadian, Nima
署名单位:
Sharif University of Technology
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2021.3106882
发表日期:
2022
页码:
3754-3761
关键词:
robots trajectory CONVERGENCE Collision avoidance Nonlinear systems Upper bound Robot kinematics Euler-Lagrange systems prescribed-time control robotic systems time-varying control
摘要:
This article introduces a class of time-varying controllers for Euler-Lagrange systems such that the convergence occurs at an arbitrary finite time, independently of initial conditions, and free of chattering. The proposed controller is based on a mapping technique and is designed in two steps: First, a conventional (obstacle avoidance) asymptotically stable controller is specified for the nominal system; then, by a simple substitution, a prescribed-time (obstacle avoidance) controller is achievable for the perturbed system. It is proved that the proposed scheme is uniformly prescribed-time stable for unperturbed systems and prescribed-time attractive for perturbed systems as it rejects matched disturbances with unknown upper bounds without disturbance observation. As an example, a two-link robot manipulator is considered for numerical simulations.
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