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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