• DocumentCode
    2728594
  • Title

    Combined ACO algorithm — Nelder-Mead simplex search for controller and anti-windup tuning for a motion system with flexible transmission

  • Author

    Blondin, Maude-Josee ; Sicard, Pierre

  • Author_Institution
    ECE Dept., Univ. du Quebec a Trois-Rivieres, Trois-Rivières, QC, Canada
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    3364
  • Lastpage
    3369
  • Abstract
    Optimal controller and anti-windup tuning for motion systems with flexible coupling and cascaded loops control structure is a practical and difficult problem, in particular when time scale separation is insufficient. An Ant Colony Optimization (ACO) based methodology for global off-line tuning of Proportional-Integral-Derivative (PID) controllers with anti-windup can be used at the expense of excessive computation time. A new hybrid algorithm based on ACO and Nelder-Mead (NM) improves computation time to reach accurate optimal solutions. This hybrid algorithm handles large sets of parameters to tune and the designer can modify or create new performance indices to fully grasp the desired behavior with multi-objective criteria.
  • Keywords
    ant colony optimisation; cascade control; motion control; optimal control; performance index; search problems; three-term control; ACO algorithm; ACO based methodology; NM algorithm; Nelder-Mead simplex search; PID controllers; ant colony optimization; antiwindup tuning; cascaded loops control structure; flexible coupling; flexible transmission; global off-line tuning; motion systems; multiobjective criteria; optimal controller; performance indices; proportional-integral-derivative controllers; Algorithm design and analysis; Cities and towns; Couplings; Indexes; Optimization; Quantization (signal); Tuning; Ant colony optimization; Heuristic algorithms; Integrator anti-windup; Motion systems; Nelder-Mead algorithm; Optimization; PID Controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
  • Conference_Location
    Vienna
  • ISSN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2013.6699668
  • Filename
    6699668