@inproceedings{320d2a73583a4e178edf45bc597f1174,
title = "Observer-Based Adaptive Integral Control for Multi-motor Drive Systems",
abstract = "This paper deals with the problem of unknown system state and the effect of steady-state error for multi-motor drive systems. Due to the existence of unknown nonlinearity, a robust observer with neural network is proposed to estimate the system state. To improve the steady-state performance, the integrator is introduced in the controller design to eliminate the steady-state error and get rid of the vibration. Based on mean relative coupling structure and dynamic surface control, a synchronization control method and tracking control scheme are proposed with integrator. The effectiveness of designed control methods is illustrated by simulation results.",
keywords = "Robust observer, integrator, multi-motor drive system, neural network, synchronization control",
author = "Shuangyi Hu and Xuemei Ren",
note = "Publisher Copyright: {\textcopyright} 2020 Technical Committee on Control Theory, Chinese Association of Automation.; 39th Chinese Control Conference, CCC 2020 ; Conference date: 27-07-2020 Through 29-07-2020",
year = "2020",
month = jul,
doi = "10.23919/CCC50068.2020.9189062",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "428--433",
editor = "Jun Fu and Jian Sun",
booktitle = "Proceedings of the 39th Chinese Control Conference, CCC 2020",
address = "United States",
}