Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/10676
Title: Time-Varying Fault Tolerant Control of Nonlinear MIMO Systems
Authors: Çetin, Meriç
Beyhan, S.
Iplikci, S.
Keywords: Controllers
Fault tolerance
MIMO systems
Model predictive control
Nonlinear systems
Parameter estimation
Real time control
Uncertainty analysis
Control performance
Fault tolerant control
Fault tolerant controllers
Model predictive
Multi-input multi-output system
Nonlinear MIMO systems
Precise tracking
Time varying parameter
Time varying control systems
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: In this study, a recently proposed discretization based observer is designed for the estimation of unknown time-varying fault variable. Using the estimated fault, a model predictive control based fault tolerant controller is proposed and applied for the real-time control of nonlinear multi-input multi-output (MIMO) systems. The main contributions are given as follows. i) An unknown parameter of the nonlinear grey model is estimated to compensate the uncertainty of the nonlinear system. ii) Second, an unknown process fault function of the nonlinear system is estimated and then the model inaccuracy is compensated using the estimated fault function. Fault and unknown parameter estimations are used to improve control performance of model predictive fault tolerant controller. In experiments, time-varying parameter and fault variables are accurately estimated and hence precise tracking performances are provided in real-time. © 2018 IEEE.
URI: https://hdl.handle.net/11499/10676
https://doi.org/10.1109/MED.2018.8442750
ISBN: 9781538678909
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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