@inproceedings{60afa81642ec45a6addd806853cf696d,
title = "Adaptive robust controller for electric cylinder with fast parameter estimation based on modified lugre model",
abstract = "In this paper, the adaptive robust control (ARC) algorithm is proposed for tracking control of the electric cylinder position. According to the analysis of the working principle of the electric cylinder servo system, the model of the system is established on the modified Lugre friction model, and single observer is designed for calculating friction as well. Then the ARC controller and adaptive law are designed for on-line parameters estimation, frictional compensation and the suppression external disturbance. Through the Lyapunov approach, the stability of this system can be obtained in this work. The simulation result shows that ARC can suppresses external disturbances effectively and realize real-time online parameter estimation.",
keywords = "Lugre model, adaptive robust control, parameter estimation",
author = "Li, \{Duo Yang\} and Jun Zheng and Hao, \{Wang Ren Jian\} and Wang, \{Shou Kun\} and Wei Shen",
note = "Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",
year = "2017",
month = sep,
day = "7",
doi = "10.23919/ChiCC.2017.8027870",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "3315--3320",
editor = "Tao Liu and Qianchuan Zhao",
booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",
address = "United States",
}