Paper Info
Title
Application Of Kalman And Rls Adaptive Algorithms To Non-Linear Loudspeaker Controler Parameter Estimation: A Case Study
Abstract
The loudspeaker is a nonlinear transducer that produces harmonic distortion and nonlinear controllers, requiring parameters well tuned to the loudspeaker, are used to reduce it. Unfortunately loudspeaker parameters are not well known and vary during normal operation. Based on a simplified nonlinear model of the loudspeaker, and a modification to the adaptive filters, nonlinear systems for the estimation of parameter for the mechanical part and for the electrical part of the loudspeaker where developed. The parameters estimated are directly usable by the controllers, not requiring additional conversion calculations. The Kalman and RLS adaptive algorithms where applied to this systems and simulation results show that they converge, although the electrical part estimation system was about 15 times slower than the mechanical.
Year
DOI
Venue
2005
10.1109/ICASSP.2005.1415667
2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING
Keywords
Field
DocType
adaptive filter,computer aided software engineering,harmonic distortion,kalman filters,manufacturing,nonlinear system,adaptive filters,nonlinear equations,convergence,loudspeakers,normal operator,differential equations,parameter estimation
Control theory,Total harmonic distortion,Nonlinear system,Computer science,Control theory,Algorithm,Kalman filter,Adaptive filter,Estimation theory,Adaptive algorithm,Loudspeaker
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Ricardo A. Ribeiro110.70
António Joaquim Serralheiro2478.28
Moisés Simões Piedade34314.31