@inproceedings{70396e7830c0477ca980fc0123af9dbf,
title = "Recursive adaptive integral sliding mode control based on extended state observer for dual-motor servo system",
abstract = "This paper presents a novel recursive adaptive integral sliding mode (RAISM) control method based on extended state observer (ESO) for the class of dual-motor nonlinear servo system with unknown backlash. The ESO is utilized to estimate the useful states and predigest the designing course. Then, applying the Chebyshev neural network, the RAISM controller is designed to effectively eliminate the reaching phase and avoid the problem of singularity. The simulation results of comparative experiments verify the validity and higher tracking accuracy of the proposed method.",
keywords = "ESO, RAISM control method, dual-motor nonlinear servo system",
author = "Kang Wang and Xuemei Ren and Zimei Sun and Wei Zhao",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 9th International Conference on Modelling, Identification and Control, ICMIC 2017 ; Conference date: 10-07-2017 Through 12-07-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICMIC.2017.8321538",
language = "English",
series = "Proceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "663--668",
booktitle = "Proceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017",
address = "United States",
}