• DocumentCode
    856347
  • Title

    Flexible system model reduction and control system design based upon actuator and sensor influence functions

  • Author

    Yam, Yeung ; Johnson, Timothy L. ; Lang, Jefrey H.

  • Author_Institution
    University of California, Los Angeles, CA
  • Volume
    32
  • Issue
    7
  • fYear
    1987
  • fDate
    7/1/1987 12:00:00 AM
  • Firstpage
    573
  • Lastpage
    582
  • Abstract
    A model reduction technique based on aggregation with respect to sensor and actuator influence functions rather than modes is presented for large systems of coupled second-order differential equations. Perturbation expressions which can predict the effects of spillover on both the reduced-order plant model and the neglected plant model are derived. For the special case of collocated actuators and sensors, these expressions lead to the derivation of constraints on the controller gains that are, given the validity of the perturbation technique, sufficient to guarantee the stability of the closed-loop system. A case study demonstrates the derivation of stabilizing controllers based on the present technique. The use of control and observation synthesis in modifying the dimension of the reduced-order plant model is also discussed. A numerical example is provided for illustration.
  • Keywords
    Flexible structures; Large-scale systems, linear; Perturbation methods; Reduced-order systems, linear; Stability, linear systems; Actuators; Control system synthesis; Control systems; Damping; Energy measurement; Predictive models; Reduced order systems; Sensor phenomena and characterization; Sensor systems; Stability;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1987.1104681
  • Filename
    1104681