• DocumentCode
    1142582
  • Title

    A generalized approach to modal filtering for active noise control. I. Vibration sensing

  • Author

    Burgan, Nicholas C. ; Snyder, Scott D. ; Tanaka, Nobuo ; Zander, Anthony C.

  • Author_Institution
    Dept. of Mech. Eng., Adelaide Univ., SA, Australia
  • Volume
    2
  • Issue
    6
  • fYear
    2002
  • fDate
    12/1/2002 12:00:00 AM
  • Firstpage
    577
  • Lastpage
    589
  • Abstract
    Many techniques for controlling the noise radiated by large structures require a large number of inputs to the controller to produce global attenuation. Unfortunately, processing the large number of inputs required is often beyond the capabilities of current controllers. In attempting to overcome this problem, many researchers have adopted various modal-filtering-type techniques. Such techniques involve resolving a small number of important global quantities (traditionally structural modes) from a large number of sensor measurements. However, current approaches require detailed structural information at the design stage. Determining this for complex, real-world structures may be very difficult, preventing many techniques from going beyond the laboratory. The technique presented here outlines a new sensing system strategy, where the radiated sound field is decomposed using multipole radiation patterns, thereby alleviating the need for detailed structural information. Simulation and experimental results are presented.
  • Keywords
    accelerometers; acoustic signal processing; active noise control; filtering theory; vibration measurement; ANC; active noise control; modal filtering; multipole radiation patterns; radiated sound field decomposition; sensing system strategy; vibration sensing; Acoustic noise; Acoustic sensors; Active filters; Active noise reduction; Control systems; Error correction; Filtering; Laboratories; Sensor systems; Vibration control;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2002.807770
  • Filename
    1178171