Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/10778
Title: An efficient sliding mode observer-based model predictive control: experimental implementation on a DC/DC power converter
Authors: Bahtiyar, Bedri
Çetin, M.
Beyhan, S.
İplikçi, S.
Keywords: DC/DC converter
discretization
model predictive control
real-time control
Sliding mode observer
stability
Convergence of numerical methods
Model predictive control
Real time control
Sliding mode control
Stability
Convergence properties
DC/DC power converters
Discretizations
Estimation performance
Model predictive controllers
Sliding mode observers
Stability properties
State and parameter estimations
DC-DC converters
Publisher: SAGE Publications Ltd
Abstract: In this paper, a discretization-based sliding mode observer (DBSMO) is proposed for the state and parameter estimation of nonlinear systems. In the DBSMO structure, an accurate discretized dynamics are derived for the state and parameter update of the sliding mode observer (SMO) instead of integration-based state update. In this way, faster converging observer dynamics are obtained. The stability properties of the conventional SMO remain the same for DBSMO. In the application presented here, first a real-time DC/DC power converter is designed with a computer interface. Then, to show the enhancement of convergence properties, conventional SMO and DBSMO-based model predictive controllers are designed and applied to control of the DC/DC power converter. Through simulation and experimental results, it is shown that the estimation performance of SMO is greatly improved so that the tracking performance is also increased, which are the main contributions of the paper. © 2018, © The Author(s) 2018.
URI: https://hdl.handle.net/11499/10778
https://doi.org/10.1177/0142331218759596
ISSN: 0142-3312
Appears in Collections:Denizli Teknik Bilimler Meslek Yüksekokulu Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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