Tracking control of a two-axis motion system via a filtering-type sliding-mode control with radial basis function network

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Title:	Tracking control of a two-axis motion system via a filtering-type sliding-mode control with radial basis function network
Authors:	Lin,FJ;Hsieh,HJ;Chou,PH
Contributors:	電機工程學系
Keywords:	FUZZY NEURAL-NETWORK;X-Y TABLE;DISTURBANCE OBSERVER;SYNCHRONOUS MOTOR;POSITION CONTROL;SPEED CONTROL;COMPENSATION;FEEDBACK;DESIGN
Date:	2010
Issue Date:	2012-03-28 10:13:06 (UTC+8)
Publisher:	國立中央大學
Abstract:	In this study, a filtering-type sliding-mode control with a radial basis function network (FSCRBFN) for a two-axis motion control system, which consists of two permanent magnet linear synchronous motors (PMLSMs), is proposed. First, the dynamics of the single-axis motion system with a lumped uncertainty which contains parameter variations, external disturbances, cross-coupled interference and non-linear friction force is derived. Next, a filtering-type sliding-mode control (FSC) is adopted for the two-axis motion control system to confront the lumped uncertainty. Then, to improve the control performance in contour tracking, the FSCRBFN control approach is developed. In the control approach, a radial basis function network (RBFN) is employed mainly to estimate the lumped uncertainty. Moreover, the proposed control approach is performed on a digital signal process (DSP)-based control system using TMS320C32. Finally, some experimental results are illustrated to show the validity of the proposed control approach.
Relation:	IET CONTROL THEORY AND APPLICATIONS
Appears in Collections:	[Department of Electrical Engineering] journal & Dissertation

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