Accelerated Adaptive Second Order Super-Twisting Sliding Mode Observer
An accelerated second-order super-twisting sliding mode observer with an adaptive gain is proposed for a typical nonlinear system. The key contribution of this algorithm is that the rate of convergence of observation error is accelerated remarkably by introducing “system damping. ...
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doaj-65fe79fee72d4611900e576b5075b8b12021-03-29T22:37:53ZengIEEEIEEE Access2169-35362019-01-017252322523810.1109/ACCESS.2018.28727928478251Accelerated Adaptive Second Order Super-Twisting Sliding Mode ObserverCheng Lin0Shengxiong Sun1https://orcid.org/0000-0002-8079-8934Paul Walker2Nong Zhang3National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, ChinaNational Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, ChinaFaculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, AustraliaFaculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, AustraliaAn accelerated second-order super-twisting sliding mode observer with an adaptive gain is proposed for a typical nonlinear system. The key contribution of this algorithm is that the rate of convergence of observation error is accelerated remarkably by introducing “system damping.” Chattering issue is attenuated with a satisfactory performance compared with conventional sliding mode observer. Furthermore, adaptive gain can vary with deviation between the trajectory and the sliding mode switching manifold dynamically so that overshoot can be reduced. The novel observer is proven mathematically to be convergent in a finite time. Finally, an example of nonlinear system is given to verify the performance.https://ieeexplore.ieee.org/document/8478251/Sliding modeacceleratedsuper-twistingobserver |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Cheng Lin Shengxiong Sun Paul Walker Nong Zhang |
spellingShingle |
Cheng Lin Shengxiong Sun Paul Walker Nong Zhang Accelerated Adaptive Second Order Super-Twisting Sliding Mode Observer IEEE Access Sliding mode accelerated super-twisting observer |
author_facet |
Cheng Lin Shengxiong Sun Paul Walker Nong Zhang |
author_sort |
Cheng Lin |
title |
Accelerated Adaptive Second Order Super-Twisting Sliding Mode Observer |
title_short |
Accelerated Adaptive Second Order Super-Twisting Sliding Mode Observer |
title_full |
Accelerated Adaptive Second Order Super-Twisting Sliding Mode Observer |
title_fullStr |
Accelerated Adaptive Second Order Super-Twisting Sliding Mode Observer |
title_full_unstemmed |
Accelerated Adaptive Second Order Super-Twisting Sliding Mode Observer |
title_sort |
accelerated adaptive second order super-twisting sliding mode observer |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
An accelerated second-order super-twisting sliding mode observer with an adaptive gain is proposed for a typical nonlinear system. The key contribution of this algorithm is that the rate of convergence of observation error is accelerated remarkably by introducing “system damping.” Chattering issue is attenuated with a satisfactory performance compared with conventional sliding mode observer. Furthermore, adaptive gain can vary with deviation between the trajectory and the sliding mode switching manifold dynamically so that overshoot can be reduced. The novel observer is proven mathematically to be convergent in a finite time. Finally, an example of nonlinear system is given to verify the performance. |
topic |
Sliding mode accelerated super-twisting observer |
url |
https://ieeexplore.ieee.org/document/8478251/ |
work_keys_str_mv |
AT chenglin acceleratedadaptivesecondordersupertwistingslidingmodeobserver AT shengxiongsun acceleratedadaptivesecondordersupertwistingslidingmodeobserver AT paulwalker acceleratedadaptivesecondordersupertwistingslidingmodeobserver AT nongzhang acceleratedadaptivesecondordersupertwistingslidingmodeobserver |
_version_ |
1724191159407869952 |