A novel robust generalized backstepping controlling method for a class of nonlinear systems
This study is aimed at introducing a new robust control strategy in developed backstepping method designed for a special class of nonlinear systems, which does not require any information on the upper bound of parametric uncertainties. A robust generalized backstepping method (RGBM) is introduced by...
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Online Access: | http://dx.doi.org/10.1080/23311916.2017.1342309 |
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doaj-bf8e269c13cd434488fedd92e1d8bd172021-03-02T14:23:45ZengTaylor & Francis GroupCogent Engineering2331-19162017-01-014110.1080/23311916.2017.13423091342309A novel robust generalized backstepping controlling method for a class of nonlinear systemsMalek Ghanavati0Karim Salahshoor1Mohammad Reza Jahed Motlagh2Amin Ramezani3Ali Moarefianpour4Science and Research Branch, Islamic Azad UniversityPetroleum University of Technology (PUT)Iran University of Science and TechnologyTarbiat Modares UniversityScience and Research Branch, Islamic Azad UniversityThis study is aimed at introducing a new robust control strategy in developed backstepping method designed for a special class of nonlinear systems, which does not require any information on the upper bound of parametric uncertainties. A robust generalized backstepping method (RGBM) is introduced by using of both generalized backstepping method and nonlinear damping of Lyapunov redesign. The RGBM is more efficient than the standard backstepping method because the standard backstepping method can only be applied to strictly feedback systems while RGBM expands this class. In addition, RGBM has could be applied to a special class of nonlinear systems with unmatched uncertainty and unknown upper bound. Numerical simulations demonstrate the feasibility and advantages of the proposed algorithm. Finally, the compressor surge control system is reviewed to show the robustness of the proposed scheme.http://dx.doi.org/10.1080/23311916.2017.1342309nonlinear controlrobust controlbacksteppingstrictly feedbackrobust generalized backsteppingunmatched uncertainty |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Malek Ghanavati Karim Salahshoor Mohammad Reza Jahed Motlagh Amin Ramezani Ali Moarefianpour |
spellingShingle |
Malek Ghanavati Karim Salahshoor Mohammad Reza Jahed Motlagh Amin Ramezani Ali Moarefianpour A novel robust generalized backstepping controlling method for a class of nonlinear systems Cogent Engineering nonlinear control robust control backstepping strictly feedback robust generalized backstepping unmatched uncertainty |
author_facet |
Malek Ghanavati Karim Salahshoor Mohammad Reza Jahed Motlagh Amin Ramezani Ali Moarefianpour |
author_sort |
Malek Ghanavati |
title |
A novel robust generalized backstepping controlling method for a class of nonlinear systems |
title_short |
A novel robust generalized backstepping controlling method for a class of nonlinear systems |
title_full |
A novel robust generalized backstepping controlling method for a class of nonlinear systems |
title_fullStr |
A novel robust generalized backstepping controlling method for a class of nonlinear systems |
title_full_unstemmed |
A novel robust generalized backstepping controlling method for a class of nonlinear systems |
title_sort |
novel robust generalized backstepping controlling method for a class of nonlinear systems |
publisher |
Taylor & Francis Group |
series |
Cogent Engineering |
issn |
2331-1916 |
publishDate |
2017-01-01 |
description |
This study is aimed at introducing a new robust control strategy in developed backstepping method designed for a special class of nonlinear systems, which does not require any information on the upper bound of parametric uncertainties. A robust generalized backstepping method (RGBM) is introduced by using of both generalized backstepping method and nonlinear damping of Lyapunov redesign. The RGBM is more efficient than the standard backstepping method because the standard backstepping method can only be applied to strictly feedback systems while RGBM expands this class. In addition, RGBM has could be applied to a special class of nonlinear systems with unmatched uncertainty and unknown upper bound. Numerical simulations demonstrate the feasibility and advantages of the proposed algorithm. Finally, the compressor surge control system is reviewed to show the robustness of the proposed scheme. |
topic |
nonlinear control robust control backstepping strictly feedback robust generalized backstepping unmatched uncertainty |
url |
http://dx.doi.org/10.1080/23311916.2017.1342309 |
work_keys_str_mv |
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