TY - GEN
T1 - DSP-based cross-coupled synchronous control for dual linear motors via intelligent complementary sliding mode control
AU - Chou, Po Huan
AU - Lin, Faa Jeng
AU - Chen, Chin Sheng
AU - Lee, Feng Chi
PY - 2012
Y1 - 2012
N2 - A digital signal processor (DSP)-based cross-coupled intelligent complementary sliding mode control (ICSMC) system is proposed in this study for the synchronous control of a dual linear motors servo system. The dual linear motors servo system with two parallel permanent magnet linear synchronous motors (PMLSMs) is installed in a gantry position stage. The dynamic model of single-axis motion control system with a lumped uncertainty, which comprises parameter variations, external disturbances and nonlinear friction force, is introduced first. Then, to achieve an accurate trajectory tracking performance with robustness, a cross-coupled ICSMC is developed. In this approach, a Takagi-Sugeno-Kang type fuzzy neural network (TSKFNN) estimator with accurate approximation capability is implemented to estimate the lumped uncertainty. Moreover, since a cross-coupled technology is incorporated into the proposed intelligent control scheme for the gantry position stage, both the position tracking error and synchronous error of the dual linear motors will converge to zero simultaneously. Finally, some experimental results are illustrated to show the validity of the proposed control approach.
AB - A digital signal processor (DSP)-based cross-coupled intelligent complementary sliding mode control (ICSMC) system is proposed in this study for the synchronous control of a dual linear motors servo system. The dual linear motors servo system with two parallel permanent magnet linear synchronous motors (PMLSMs) is installed in a gantry position stage. The dynamic model of single-axis motion control system with a lumped uncertainty, which comprises parameter variations, external disturbances and nonlinear friction force, is introduced first. Then, to achieve an accurate trajectory tracking performance with robustness, a cross-coupled ICSMC is developed. In this approach, a Takagi-Sugeno-Kang type fuzzy neural network (TSKFNN) estimator with accurate approximation capability is implemented to estimate the lumped uncertainty. Moreover, since a cross-coupled technology is incorporated into the proposed intelligent control scheme for the gantry position stage, both the position tracking error and synchronous error of the dual linear motors will converge to zero simultaneously. Finally, some experimental results are illustrated to show the validity of the proposed control approach.
KW - complementary sliding mode control
KW - cross-coupled technology
KW - dual linear motors servo system
KW - Takagi-Sugeno-Kang type fuzzy neural network
UR - http://www.scopus.com/inward/record.url?scp=84877685881&partnerID=8YFLogxK
U2 - 10.1109/CHUSER.2012.6504322
DO - 10.1109/CHUSER.2012.6504322
M3 - 會議論文篇章
AN - SCOPUS:84877685881
SN - 9781467346153
T3 - CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research
SP - 266
EP - 271
BT - CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research
T2 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research, CHUSER 2012
Y2 - 3 December 2012 through 4 December 2012
ER -