The multiple reference principle component least mean squares algorithm: a projection based approach

G. Nijsse, Johannes van Dijk, Jan B. Jonker

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

39 Downloads (Pure)

Abstract

The principal component least mean squares algorithm (PCLMS) is an elegant adaptive control algorithm for cancelling a tonal disturbance signal in active control applications, such as active noise control and active vibration isolation control. The algorithm removes the spatial correlation between the actuator inputs and the error sensor outputs to enable fast convergence of the adaptive controller. However, a drawback of the PCLMS algorithm is that it can only suppress a disturbance signal which contains a single frequency component. The contribution of this paper is that we present a numerically robust projection based approach in which the PCLMS is extended with the ability to suppress a disturbance signal which contains multiple frequency components. The potential of the algorithm is demonstrated by multi-tonal control on a realistic model of a real-time vibration isolation set-up. The algorithm is shown to outperform the traditional filtered-x least mean squares algorithm.
Original languageUndefined
Title of host publicationProceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
Place of PublicationMontreal, Canada
PublisherIEEE
Pages133-136
Number of pages4
ISBN (Print)0-7803-8484-9
DOIs
Publication statusPublished - 2004
EventIEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2004 - Montreal, Canada
Duration: 17 May 200421 May 2004

Publication series

Name
PublisherIEEE
Number1520-6149
VolumeIV

Conference

ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2004
Abbreviated titleICASSP
CountryCanada
CityMontreal
Period17/05/0421/05/04

Keywords

  • METIS-224362
  • IR-52675

Cite this