@inproceedings{07bf71eff3f54a10b38adede002ce3d0,
title = "An adaptive finite time control for the electrical drive with elastic coupling",
abstract = "In this paper, a novel adaptive nonsingular terminal sliding mode control (ANTSMC) based parameter estimation is developed for servo system with unknown system parameters. An auxiliary filter variable is employed to derive parameter estimation error information without measuring the acceleration. The estimation error is used as new leakage term in parameter update law. The key idea of the proposed parameter estimation scheme is that a sliding mode technique is introduced to ensure the finite time convergence of the estimation error in the presence of persistent excitation (PE). Moreover, an adaptive observer is designed to estimate the unmeasured state variables. Then, an adaptive nonsingular terminal sliding mode controller is designed for the servo system to achieve high performance tracking control. Finally, simulation results are used to illustrate the effectiveness of the proposed control method.",
keywords = "Adaptive observer, Finite-time parameter estimation, Nonsingular terminal sliding mode control (NTSMC), Servo system",
author = "Shubo Wang and Xuemei Ren and Siqi Li",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Singapore Pte Ltd.; Chinese Intelligent Systems Conference, CISC 2017 ; Conference date: 14-10-2017 Through 15-10-2017",
year = "2018",
doi = "10.1007/978-981-10-6496-8_54",
language = "English",
isbn = "9789811064951",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "585--598",
editor = "Junping Du and Weicun Zhang and Yingmin Jia",
booktitle = "Proceedings of 2017 Chinese Intelligent Systems Conference",
address = "Germany",
}