Paper Title:
Modeling and Identification for Lightweight High-Speed Machines with Loads Variation
  Abstract

The positioning performance of high-speed, high-accuracy light-weight motion control systems is usually restricted by the structure flexibility and model parameter-varying caused by load mass variation. It needs to develop novel motion control algorithm to eliminate the residual vibration in the end-effectors, as well as to be robust over the load mass variation. This paper addresses the first and crucial step of this problem, modeling and identification technique. The linear parameter-varying model of the system is constructed and analyzed. The parameters and affine function identification method based on nonlinear least-squares and principle component analysis technique is proposed. The validity of the proposed method is demonstrated through a lightweight machine experimental setup. It is general enough to be applicable to the dynamic behaviors analysis and gain-scheduling robust control design for industrial lightweight vibration suppression and motion control systems that possess flexible elements and variable loads.

  Info
Periodical
Chapter
Chapter 3: Functional Manufacturing and Information Technology
Edited by
Hun Guo, Taiyong Wang, Zeyu Weng, Weidong Jin, Shaoze Yan, Xuda Qin, Guofeng Wang, Qingjian Liu and Zijing Wang
Pages
350-354
DOI
10.4028/www.scientific.net/AMM.141.350
Citation
S. X. Fan, D. P. Fan, R. Nagamune, "Modeling and Identification for Lightweight High-Speed Machines with Loads Variation", Applied Mechanics and Materials, Vol. 141, pp. 350-354, 2012
Online since
November 2011
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Price
$32.00
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