• DocumentCode
    2309929
  • Title

    A multiobjective optimisation-based software environment for control systems design

  • Author

    Joos, H.-D.

  • Author_Institution
    Inst. of Robotics & Mechatronics, DLR-German Aerosp. Center, Wessling, Germany
  • fYear
    2002
  • fDate
    18-20 Sept. 2002
  • Firstpage
    7
  • Lastpage
    14
  • Abstract
    This paper describes a software environment, called MOPS (multiobjective parameter synthesis), which supports the control engineer in setting up his design problem as a properly formulated multiobjective optimisation task. To this end, MOPS offers a basic control system criteria library, a generic multi-model structure for multi-disciplinary problems and a generic multi-case structure for robust control law design, as well as visualisation tools for monitoring the design progress. Several additional features for dealing with a large amount of parameters and criteria, distributed computation for time consuming computations and the use of external simulation and analysis servers, are also provided. MOPS also supports parameter estimation in identification problems and optimisation based design assessment for robustness. The user is provided with a clear application program interface and a graphical user interface both implemented in MATLAB. To solve the underlying optimisation problem different powerful optimisation. procedures are available.
  • Keywords
    application program interfaces; control system CAD; graphical user interfaces; optimisation; parameter estimation; robust control; MATLAB; MOPS; application program interface; control system CAD; graphical user interface; identification; multiobjective optimisation; parameter estimation; robust control; visualisation tools; Computational modeling; Control system synthesis; Control systems; Design engineering; Design optimization; Distributed computing; Monitoring; Robust control; Software libraries; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Aided Control System Design, 2002. Proceedings. 2002 IEEE International Symposium on
  • Print_ISBN
    0-7803-7388-X
  • Type

    conf

  • DOI
    10.1109/CACSD.2002.1036921
  • Filename
    1036921