Open AccessData‐driven adaptive fault‐tolerant control for a class of multiple‐input–multiple‐output linear discrete‐time systems
Author(s) -
Li Zhe,
Yang GuangHong
Publication year - 2017
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.2017.0214
Subject(s) - control theory (sociology) , observer (physics) , computer science , fault tolerance , residual , controller (irrigation) , compensation (psychology) , discrete time and continuous time , fault (geology) , adaptive control , linear system , fault detection and isolation , control engineering , control (management) , engineering , mathematics , algorithm , actuator , distributed computing , artificial intelligence , statistics , psychology , mathematical analysis , physics , quantum mechanics , seismology , psychoanalysis , agronomy , biology , geology
In this study, a data‐driven adaptive fault‐tolerant control (FTC) scheme is proposed for a class of linear discrete‐time multiple‐input and multiple‐output systems. With the unknown system model, the nominal controller with an observer‐based residual generator is first developed based on the system input and output (I/O) data in the fault‐free case; in the faulty case, the fault tolerant compensation mechanism is designed based on the model‐free adaptive control method. Compared to the existing data‐driven FTC methods, the number of the fault‐tolerant tuning parameters in this study is determined by the system I/O dimensions instead of arbitrarily defined, which may lead to fewer tuning parameters with satisfactory performance. The effectiveness of the proposed scheme is illustrated by two simulation examples.