• DocumentCode
    3588309
  • Title

    Contour following control of two-axis servomechanism using CMAC and ILC

  • Author

    Wei-Liang Kuo ; Wei-Lin Chen ; Ming-Yang Cheng

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2014
  • Firstpage
    132
  • Lastpage
    137
  • Abstract
    In addition to positioning control, contour following control is also an important application of two-axis servomechanisms such as X-Y tables. Therefore, the reduction of contour following error so as to improve contour following accuracy is one of the important research topics for two-axis servomechanisms. Generally, the assessment of contour following accuracy is based on two error indices - tracking error and contour error. Although the reduction of tracking error can lead to the improvement of contour following accuracy, many previous studies suggest that contour error is a more crucial indicator than tracking error in contour following applications. As a result, this paper aims at developing a control scheme for contour error reduction so as to improve contour following accuracy. The proposed control scheme consists of a PI type feedback controller, a Cerebellar Model Articulation Control (CMAC) algorithm and an Iterative learning Control (ILC) scheme. In particular, the CMAC is combined with the ILC to compensate for the adverse effects due to external disturbance and nonlinear phenomenon. Experimental results verify the effectiveness of the proposed contour following control scheme.
  • Keywords
    PI control; cerebellar model arithmetic computers; feedback; iterative learning control; position control; servomechanisms; CMAC; CMAC algorithm; ILC; PI type feedback controller; X-Y tables; cerebellar model articulation control algorithm; contour following control; contour following error reduction; error indices; external disturbance; iterative learning control scheme; nonlinear phenomenon; positioning control; tracking error reduction; two-axis servomechanism; Accuracy; Adaptive control; Feedforward neural networks; Friction; Splines (mathematics); Surface reconstruction; Surface topography; X-Y table; cerebellar model articulation control; contour following; iterative learning control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Control Conference (CACS), 2014 CACS International
  • Print_ISBN
    978-1-4799-4586-3
  • Type

    conf

  • DOI
    10.1109/CACS.2014.7097176
  • Filename
    7097176