A novel adaptive filter structure is proposed for the control of systems characterized by higher harmonic response. The control approach has been designated the higher harmonic least‐mean squares (HLMS) algorithm to differentiate it from the standard multifrequency filtered‐x version of the least‐mean squares approach. In the HLMS algorithm, a single frequency reference at that of the fundamental is all that is required to implement the controller. The remaining harmonics are generated internally based upon simple trigonometric relationships. The filtered‐x LMS algorithm is implemented in parallel for each frequency to be controlled, minimizing or totally eliminating the contribution of the time‐varying terms during the convergence process and increasing the rate of convergence for the higher harmonic control application. Results from the simulation demonstrate that the HLMS approach is far superior to the standard multifrequency, filtered‐x LMS algorithm in adaptive, feedforward, higher‐harmonic control.
Skip Nav Destination
Article navigation
August 1994
August 01 1994
A novel approach to feedforward higher‐harmonic control
Robert L. Clark;
Robert L. Clark
Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708‐0300
Search for other works by this author on:
Gary P. Gibbs
Gary P. Gibbs
Department of Mechanical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061
Search for other works by this author on:
J. Acoust. Soc. Am. 96, 926–936 (1994)
Article history
Received:
July 06 1993
Accepted:
April 22 1994
Citation
Robert L. Clark, Gary P. Gibbs; A novel approach to feedforward higher‐harmonic control. J. Acoust. Soc. Am. 1 August 1994; 96 (2): 926–936. https://doi.org/10.1121/1.411389
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
Vowel signatures in emotional interjections and nonlinguistic vocalizations expressing pain, disgust, and joy across languages
Maïa Ponsonnet, Christophe Coupé, et al.
The alveolar trill is perceived as jagged/rough by speakers of different languages
Aleksandra Ćwiek, Rémi Anselme, et al.
A survey of sound source localization with deep learning methods
Pierre-Amaury Grumiaux, Srđan Kitić, et al.
Related Content
Feedforward control using the higher‐harmonic, time‐averaged gradient descent algorithm
J Acoust Soc Am (May 1995)
Feedforward controller design by eigenvalue assignment.
J. Acoust. Soc. Am. (October 1991)
Measuring the hierarchy of feedforward networks
Chaos (March 2011)
Combined feedback–feedforward active control of sound in a room
J Acoust Soc Am (December 1998)
Adaptive feedforward modal space control
J Acoust Soc Am (November 1995)