Adaptive global prescribed performance tracking control of uncertain robotic systems with unknown control directions

Author:

Li Kun1,Zhao Kai2,Jia Xiaojuan3ORCID,Gao Ruizhen3

Affiliation:

1. School of Automation Chongqing University Chongqing China

2. Department of Electrical & Computer Engineering National University of Singapore Singapore

3. College of Mechanical and Equipment Engineering Hebei University of Engineering Handan China

Abstract

AbstractIn this article, we develop an adaptive global prescribed performance tracking control scheme for nonlinear multiple‐input multiple‐output (MIMO) robotic systems in the presence of unknown control directions and nonparametric uncertainties, in which the proposed solution mainly includes the following steps. Firstly, by constructing a global prescribed performance function, together with a series of transformations, the corresponding control guarantees the position tracking error evolves strictly within the prespecified region for all time, which is independent of initial conditions; Secondly, in order to cope with the problem of multiple unknown control directions, we make use of a symmetric matrix lemma to convert the underlying problem from matrix form to scalar form, so that the Nussbaum‐gain lemma for SISO systems becomes effective for MIMO systems with multiple inputs; In addition, we employ the integrable function to handle the nonparametric uncertainties, enabling the control scheme with the capability to drive the tracking error toward zero asymptotically. The effectiveness of the proposed control is validated via a two‐link rigid robotic manipulator.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

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