Adaptive fast terminal sliding mode control for a class of uncertain systems with input nonlinearity

Linjie Xin, Qinglin Wang, Yuan Li, Jinhua She

Research output: Contribution to journalArticlepeer-review

Abstract

This study investigates the terminal sliding mode (TSM) control for a class of first-order uncertain systems with dead-zone and saturation. First, a new adaptive TSM control law was proposed for the single-input and single-output (SISO) systems by employing an integral fast TSM. It achieves rejection for both system uncertainty and input nonlinearity. The global reaching condition of the sliding mode is guaranteed by the Lyapunov stability theory. The new control law possesses faster convergence than the linear sliding mode method, and the singularity problem of TSM is avoided. Then, the control law was extended for tracking control of a dynamic model of spacecraft which was a multi-input and multi-output (MIMO) system. Finally, the simulation results confirmed the effectiveness of the proposed control method.

Original languageEnglish
Pages (from-to)518-526
Number of pages9
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Volume21
Issue number3
DOIs
Publication statusPublished - May 2017

Keywords

  • Adaptive control
  • Input nonlinearity
  • Terminal sliding mode control

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