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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/52005


    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:[電機工程學系] 期刊論文

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