Adaptive sliding mode control for uncertain Euler–Lagrange systems with input saturation

Ke Shao, Rongchuan Tang, Feng Xu, Xueqian Wang, Jinchuan Zheng

Research output: Contribution to journalArticlepeer-review

67 Scopus citations

Abstract

In this paper, the tracking control problem of uncertain Euler–Lagrange systems under control input saturation is studied. To handle system uncertainties, a leakage-type (LT) adaptive law is introduced to update the control gains to approach the disturbance variations without knowing the uncertainty upper bound a priori. In addition, an auxiliary dynamics is designed to deal with the saturation nonlinearity by introducing the auxiliary variables in the controller design. Lyapunov analysis verifies that based on the proposed method, the tracking error will be asymptotically bounded by a neighborhood around the origin. To demonstrate the proposed method, simulations are finally carried out on a two-link robot manipulator. Simulation results show that in the presence of actuator saturation, the proposed method induces less chattering signal in the control input compared to conventional sliding mode controllers.

Original languageEnglish
Pages (from-to)8356-8376
Number of pages21
JournalJournal of the Franklin Institute
Volume358
Issue number16
DOIs
StatePublished - Oct 2021
Externally publishedYes

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