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 |
Show full item record
CORE Recommender
SCOPUSTM
Citations
4
checked on Nov 23, 2024
Page view(s)
68
checked on Aug 24, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.