• DocumentCode
    335421
  • Title

    A feedback perspective on the LMS disturbance feedforward algorithm

  • Author

    MacMartin, Douglas G.

  • Author_Institution
    Inst. for Aerosp. Res., Nat. Res. Council of Canada, Canada
  • Volume
    2
  • fYear
    1994
  • fDate
    29 June-1 July 1994
  • Firstpage
    1632
  • Abstract
    Much of the recent active noise control research uses a least means squares (LMS) adaptive disturbance feedforward algorithm evolved from signal processing. In contrast, many other similar vibration control problems rely on linear feedback control techniques. The distinction between the two approaches is discussed. It is well known that for harmonic disturbances, the LMS algorithm is precisely LTI feedback of the error, and thus in this case, both approaches are identical. The primary differences are the implicit sensor placement in the LMS approach, differing modelling requirements, and the handling of changing disturbance characteristics. Understanding the similarities and differences between the approaches is important, as some results are more clearly obtained using one approach or the other. Similarities, differences, and common misconceptions are illustrated by means of two noise control examples.
  • Keywords
    acoustic noise; active noise control; adaptive control; feedback; feedforward; least mean squares methods; vibration control; LTI feedback; adaptive disturbance feedforward algorithm; harmonic disturbances; least means squares; linear feedback control; noise control; sensor placement; vibration control; Active noise reduction; Adaptive control; Control systems; Feedback control; Least squares approximation; Programmable control; Sensor phenomena and characterization; Signal processing algorithms; Transfer functions; Vibration control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1994
  • Print_ISBN
    0-7803-1783-1
  • Type

    conf

  • DOI
    10.1109/ACC.1994.752347
  • Filename
    752347