• DocumentCode
    337935
  • Title

    Large-scale rigorous actuator and sensor selection

  • Author

    De Jager, Bram ; Van de Wal, Marc ; Kamidi, Ramidin

  • Author_Institution
    Dept. of Mech. Eng., Eindhoven Univ. of Technol., Netherlands
  • Volume
    4
  • fYear
    1998
  • fDate
    16-18 Dec 1998
  • Firstpage
    4314
  • Abstract
    Control system performance depends on the actuators and sensors used in the closed loop. Selection of these devices based on an exhaustive candidate-by-candidate test is a combinatorial problem. The selection considered is based on a per candidate test, but using an efficient feasibility test combined with a search strategy that, under certain conditions, is polynomial in some measures of the problem size, large-scale problems can be tackled in acceptable time. An application with 28 input/output devices to choose from, making ≈266·10 6 unique combinations possible, shows the approach to be feasible. Only 270 or 658 candidate combinations were tested for feasibility, to completely determine all combinations of sensors and actuators that were guaranteed to reach a specified level of robust performance. This is almost 106 times less than an exhaustive search would require
  • Keywords
    actuators; combinatorial mathematics; control system synthesis; optimisation; search problems; sensors; active suspension; actuator and sensor selection; candidate test; closed loop systems; combinatorial optimisation; efficient feasibility test; large-scale problems; maximal independent set; mechanical control systems; polynomial; search strategy; sensor selection; Actuators; Control systems; Large-scale systems; Polynomials; Robustness; Sensor systems; Size measurement; System performance; Testing; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4394-8
  • Type

    conf

  • DOI
    10.1109/CDC.1998.761984
  • Filename
    761984