• DocumentCode
    1849909
  • Title

    Model based μ-synthesis control for time-varying network based system

  • Author

    Uchimura, Yutaka ; Nagahara, Masanori

  • Author_Institution
    Shibaura Inst. of Technol., Tokyo, Japan
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    1920
  • Lastpage
    1925
  • Abstract
    This paper proposes a model based controller design by exploiting μ-synthesis for a network based system with time varying delay and the plant model uncertainty. Much research has investigated network system with time delay and both frequency-domain based and time domain based approaches have been proposed. In this paper, we firstly review the study on conservativeness of existing approaches for time delay systems, then deduce that μ based controller is less conservative than other methods. To improve performance of the system, we proposes a model based control method with μ-synthesis. In the model based control, the modeling error between a plant model and a real plant can affect the performance and stability of the system. A μ-synthesis based robust control also works to avoid the instability due to uncertainty. To evaluate the performance of the proposed system, we carried out simulations and experiments on a motor control system. From the results, we verified the stability and satisfactory performance of the system with the proposed methods.
  • Keywords
    control system synthesis; delays; frequency-domain analysis; stability; time-domain analysis; time-varying systems; uncertain systems; frequency-domain based approach; model based μ-synthesis control; model based controller design; plant model uncertainty; system stability; time domain based approach; time varying delay; time-varying network based system; Delay; Delay effects; Load modeling; Stability analysis; State feedback; Uncertainty; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Glendale, AZ
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-5225-5
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2010.5675352
  • Filename
    5675352