DocumentCode
2882201
Title
Sliding-mode control for systems with mismatched uncertainties via a disturbance observer
Author
Yang, Jun ; Li, Shihua ; Yu, Xinghuo
Author_Institution
Sch. of Autom., Southeast Univ., Nanjing, China
fYear
2011
fDate
7-10 Nov. 2011
Firstpage
3988
Lastpage
3993
Abstract
This paper aims to solve the sliding mode control (SMC) problem for systems with mismatched uncertainties via a disturbance observer. By designing a novel sliding surface based on the disturbance estimation, a disturbance observer based sliding mode control method is proposed to counteract the mismatched disturbance which is possibly nonvanishing. There are two distinct features for the proposed method. Firstly, the switching gain is only required to be designed greater than the magnitude of the disturbance estimation error rather than that of the disturbance, thus the chattering problem is substantially alleviated. Secondly, the proposed method retains its nominal performance, which means the proposed method acts the same as the baseline controller in the absence of disturbance. Application to a MAGLEV suspension system shows that the proposed method exhibits much better control performance than the baseline SMC and the integral SMC (I-SMC) methods, such as reduced chattering and nominal performance recovery.
Keywords
magnetic levitation; magnetic variables control; observers; uncertain systems; variable structure systems; MAGLEV suspension system; disturbance estimation error; disturbance observer; integral SMC methods; mismatched uncertainties; nominal performance recovery; reduced chattering; sliding mode control; sliding surface; switching gain; Atmospheric modeling; Observers; Suspensions; Switches; Uncertainty; MAGLEV suspension system; Sliding model control; chattering reduction; disturbance observer; mismatched disturbance; nominal performance recovery;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Melbourne, VIC
ISSN
1553-572X
Print_ISBN
978-1-61284-969-0
Type
conf
DOI
10.1109/IECON.2011.6119961
Filename
6119961
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