@inproceedings{6a943825405a4561acd8fc3e12a1d2ac,
title = "DSP-based synchronous control of dual linear motors via sugeno type fuzzy neural network compensator",
abstract = "A digital signal processor (DSP)-based complementary sliding mode control (CSMC) with Sugeno type fuzzy neural network (SFNN) compensator is proposed in this study for the synchronous control of a dual linear motors servo system installed in a gantry position stage. The dual linear motors servo system comprises two parallel permanent magnet linear synchronous motors (PMLSMs). The dynamics of the single-axis motion system with a lumped uncertainty which contains parameter variations, external disturbances and nonlinear friction force is briefly introduced first. Then, a CSMC is designed to guarantee the precision position tracking requirement in single-axis control for the dual linear motors. Moreover, to enhance the robustness to uncertainties and to eliminate the synchronous error of dual linear motors, the CSMC with a SFNN compensator is proposed where the SFNN compensator is designed mainly to compensate the synchronous error. Finally, some experimental results are illustrated to show the validity of the proposed control approach.",
author = "Lin, {Faa Jeng} and Chou, {Po Huan} and Chen, {Chin Sheng}",
note = "Funding Information: The authors would like to acknowledge the financial support of the National Science Council of Taiwan, ROC through its grant NSC 97–2221-E-008–098-MY3 . ; 2011 International Conference on Electrical Machines and Systems, ICEMS 2011 ; Conference date: 20-08-2011 Through 23-08-2011",
year = "2011",
doi = "10.1109/ICEMS.2011.6073468",
language = "???core.languages.en_GB???",
isbn = "9781457710445",
series = "2011 International Conference on Electrical Machines and Systems, ICEMS 2011",
booktitle = "2011 International Conference on Electrical Machines and Systems, ICEMS 2011",
}