Open AccessAdaptive integral sliding mode control fault tolerant control for a class of uncertain nonlinear systems
Author(s) -
Li YuanXin,
Yang GuangHong
Publication year - 2018
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2017.0961
Subject(s) - control theory (sociology) , integral sliding mode , actuator , nonlinear system , sliding mode control , controller (irrigation) , computer science , mode (computer interface) , fault (geology) , class (philosophy) , control engineering , control (management) , engineering , artificial intelligence , physics , quantum mechanics , seismology , agronomy , biology , geology , operating system
This study considers the problem of adaptive sliding mode control for a class of uncertain non‐linear systems with actuator faults and external disturbances. First, a novel reinforcement learning algorithm is first introduced to design the optimal controller of nominal control systems. Then, an integral‐type sliding mode approach have been introduced to handle the difficulty caused by actuator failures and disturbance. It is shown that the actuator faults and disturbances can be compensated completely by the proposed controller, and all signals of the resulting closed‐loop system are semi‐global boundedness by choosing suitable parameters. The authors demonstrate the algorithm by applying it to two simulation examples.