Robust Sugeno type adaptive fuzzy neural network backstepping control for two-axis motion control system

Faa Jeng Lin, Po Huan Chou, Po Hung Shen

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
主出版物標題4th IET International Conference on Power Electronics, Machines and Drives, PEMD 2008
頁面411-415
頁數5
版本538 CP
DOIs
出版狀態已出版 - 2008
事件4th IET International Conference on Power Electronics, Machines and Drives, PEMD 2008 - York, United Kingdom
持續時間: 2 4月 20084 4月 2008

出版系列

名字IET Conference Publications
號碼538 CP

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???event.eventtypes.event.conference???4th IET International Conference on Power Electronics, Machines and Drives, PEMD 2008
國家/地區United Kingdom
城市York
期間2/04/084/04/08

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