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Adaptive Fast Terminal Sliding Mode Control for a Class of Uncertain Systems with Input Nonlinearity
Author(s) -
Linjie Xin,
Qinglin Wang,
Yuan Li,
Jinhua She
Publication year - 2017
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2017.p0518
Subject(s) - control theory (sociology) , terminal sliding mode , sliding mode control , nonlinear system , computer science , lyapunov stability , lyapunov function , integral sliding mode , singularity , adaptive control , variable structure control , mimo , convergence (economics) , control (management) , mathematics , physics , artificial intelligence , mathematical analysis , computer network , channel (broadcasting) , quantum mechanics , economics , economic growth
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.

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