• DocumentCode
    518734
  • Title

    Ant colony algorithm based Controls´ arrangement optimization

  • Author

    Yan, Shengyuan ; Zhang, Jingling ; Wang, Shuaiqi ; Chen, Yu

  • Author_Institution
    Coll. of Mech. & Electr. Eng., Harbin Eng. Univ., Harbin, China
  • Volume
    4
  • fYear
    2010
  • fDate
    27-29 March 2010
  • Firstpage
    454
  • Lastpage
    457
  • Abstract
    For the arrangement of Controls in human-machine interface based on the multiple operating conditions, the following factors should be considered: the design principles such as the importance of Controls, operating frequency, operating sequence and relativity between the Controls, and the total motion distance of the operator´s hand. The arrangement in manual mode can hardly take all the factors above, and easily be influenced by subjective factors, so there is large randomcity in controller arrangement. Ant colony algorithm can take all the factors above into account, so it can be applied to optimization the arrangement objectively. In this paper, the importance, operating frequency, operating sequence and relativity was take as the variables, the minimum total motion distance of the operator´s hand in the multiple operating conditions as objective function, and a mathematical model for optimizing the arrangement of the Controls was established based on Ant colony algorithm. Finally, the process of optimization was introduced, and the feasibility of the optimization method was proved through a case.
  • Keywords
    control system synthesis; optimal systems; optimisation; ant colony algorithm; controller arrangement; controls arrangement optimization; human machine interface; mathematical model; minimum total motion distance; multiple operating condition; objective function; operating frequency; operating sequence; total motion distance; Ant colony optimization; Control systems; Design optimization; Educational institutions; Frequency; Humans; Man machine systems; Mathematical model; Motion control; Power generation; ant colony algorithm; arrangemen principles; arrangement optimization; controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2010 2nd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-5845-5
  • Type

    conf

  • DOI
    10.1109/ICACC.2010.5486881
  • Filename
    5486881