CLC number: TP202; TH138
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2014-07-16
Cited: 1
Clicked: 9273
De-yuan Meng, Guo-liang Tao, Ai-min Li, Wei Li. Motion synchronization of dual-cylinder pneumatic servo systems with integration of adaptive robust control and cross-coupling approach[J]. Journal of Zhejiang University Science C, 2014, 15(8): 651-663.
@article{title="Motion synchronization of dual-cylinder pneumatic servo systems with integration of adaptive robust control and cross-coupling approach",
author="De-yuan Meng, Guo-liang Tao, Ai-min Li, Wei Li",
journal="Journal of Zhejiang University Science C",
volume="15",
number="8",
pages="651-663",
year="2014",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C1300360"
}
%0 Journal Article
%T Motion synchronization of dual-cylinder pneumatic servo systems with integration of adaptive robust control and cross-coupling approach
%A De-yuan Meng
%A Guo-liang Tao
%A Ai-min Li
%A Wei Li
%J Journal of Zhejiang University SCIENCE C
%V 15
%N 8
%P 651-663
%@ 1869-1951
%D 2014
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1300360
TY - JOUR
T1 - Motion synchronization of dual-cylinder pneumatic servo systems with integration of adaptive robust control and cross-coupling approach
A1 - De-yuan Meng
A1 - Guo-liang Tao
A1 - Ai-min Li
A1 - Wei Li
J0 - Journal of Zhejiang University Science C
VL - 15
IS - 8
SP - 651
EP - 663
%@ 1869-1951
Y1 - 2014
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1300360
Abstract: We investigate motion synchronization of dual-cylinder pneumatic servo systems and develop an adaptive robust synchronization controller. The proposed controller incorporates the cross-coupling technology into the integrated direct/indirect adaptive robust control (DIARC) architecture by feeding back the coupled position errors, which are formed by the trajectory tracking errors of two cylinders and the synchronization error between them. The controller employs an online recursive least squares estimation algorithm to obtain accurate estimates of model parameters for reducing the extent of parametric uncertainties, and uses a robust control law to attenuate the effects of parameter estimation errors, unmodeled dynamics, and disturbances. Therefore, asymptotic convergence to zero of both trajectory tracking and synchronization errors can be guaranteed. Experimental results verify the effectiveness of the proposed controller.
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