@inproceedings{06e9359ff9b74ba196598b1a211362b7,
title = "Robust Sugeno type adaptive fuzzy neural network backstepping control for two-axis motion control system",
abstract = "A robust Sugeno type adaptive fuzzy neural network (RSAFNN) backstepping control for a two-axis motion control system is proposed in this paper. The adopted two-axis motion control system is composed of two permanent magnet linear synchronous motors (PMLSMs). The single-axis motion dynamics with the introduction of a lumped uncertainty, which includes parameter variations, external disturbances, cross coupled interference between the two PMLSMs and fiction force, is derived first. Then, a backstepping control approach is proposed to compensate the lumped uncertainty occurred in the two-axis motion control system. Moreover, to improve the control performance in the tracking of the reference contours, a RSAFNN backstepping control is proposed where a Sugeno type adaptive fuzzy neural networks (SAFNN) is employed to estimate the lumped uncertainty directly. Furthermore, the proposed control algorithms are implemented in a TMS320C32 DSP-based control computer.",
keywords = "Backstepping control, Permanent magnet linear synchronous motor, Sugeno type adaptive fuzzy neural network, X-Y table",
author = "Lin, {Faa Jeng} and Chou, {Po Huan} and Shen, {Po Hung}",
year = "2008",
doi = "10.1049/cp:20080554",
language = "???core.languages.en_GB???",
isbn = "9780863419003",
series = "IET Conference Publications",
number = "538 CP",
pages = "411--415",
booktitle = "4th IET International Conference on Power Electronics, Machines and Drives, PEMD 2008",
edition = "538 CP",
note = "4th IET International Conference on Power Electronics, Machines and Drives, PEMD 2008 ; Conference date: 02-04-2008 Through 04-04-2008",
}