• DocumentCode
    3138542
  • Title

    Direct command generation methods for servo-motor drives

  • Author

    Yaman, U. ; Mutlu, B.R. ; Dolen, M. ; Koku, A.B.

  • Author_Institution
    Dept. of Mech. Eng., Middle East Tech. Univ., Ankara, Turkey
  • fYear
    2009
  • fDate
    15-18 Nov. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This study focuses on advanced direct command generation paradigms that can be easily incorporated to modern servo-motor drive systems. As an alternative to conventional methods, two new command generation techniques are proposed in this paper. In the first method, higher-order differences of a given trajectory (i.e. position) are computed and the resulting data are compressed via lossless data compression techniques. Besides conventional approaches, a novel compression algorithm is also introduced in the paper. With respect to the second method, the command trajectory is first divided into segments according to the inflection points. The segments are then approximated using various polynomial techniques. The sequence originating from modeling error is included to the generated series. These two command generation techniques are then implemented using field programmable gate arrays (FPGAs) and their performances are evaluated according to the resources used in FPGAs and the speed of computation.
  • Keywords
    data compression; field programmable gate arrays; motor drives; servomotors; FPGA; direct command generation methods; error modeling; field programmable gate arrays; higher-order differences; lossless data compression techniques; polynomial techniques; servomotor drives; Chebyshev approximation; Control systems; Data compression; Field programmable gate arrays; Function approximation; Mechanical engineering; Motion control; Polynomials; Servomechanisms; Servomotors; Command Generation; Data Compression; FPGA; Polynomial Approximation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2009. ICEMS 2009. International Conference on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4244-5177-7
  • Electronic_ISBN
    978-4-88686-067-5
  • Type

    conf

  • DOI
    10.1109/ICEMS.2009.5382757
  • Filename
    5382757