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A preconditioned LMS algorithm for rapid adaptation of feedforward controllers

A preconditioned LMS algorithm for rapid adaptation of feedforward controllers
A preconditioned LMS algorithm for rapid adaptation of feedforward controllers
A form of LMS algorithm for adaptive feedforward control is presented in which the physical plant response is preconditioned by the inverse of its minimum phase part. The overall response from the output of the control filter to the output of the error sensors is thus equal to the all-pass part of the plant response. Since this has a flat magnitude response, the convergence speed of the adaptive algorithm is not affected by resonances in the plant response, as it is for the normal filtered reference and filtered error LMS for example. Simulations are presented for a control system using a plant response measured from a loudspeaker to a microphone inside a car which support these observations.
II845-II848
Institute of Electrical and Electronics Engineers
Elliott, S.J.
4d1787f2-dcac-4ede-bc41-82ed658a9fac
Cook, J.G.
36dca264-74dd-4257-a483-75519a589ddd
Elliott, S.J.
4d1787f2-dcac-4ede-bc41-82ed658a9fac
Cook, J.G.
36dca264-74dd-4257-a483-75519a589ddd

Elliott, S.J. and Cook, J.G. (2000) A preconditioned LMS algorithm for rapid adaptation of feedforward controllers. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2000: ICASSP 2000. Institute of Electrical and Electronics Engineers. II845-II848 . (doi:10.1109/ICASSP.2000.859092).

Record type: Conference or Workshop Item (Paper)

Abstract

A form of LMS algorithm for adaptive feedforward control is presented in which the physical plant response is preconditioned by the inverse of its minimum phase part. The overall response from the output of the control filter to the output of the error sensors is thus equal to the all-pass part of the plant response. Since this has a flat magnitude response, the convergence speed of the adaptive algorithm is not affected by resonances in the plant response, as it is for the normal filtered reference and filtered error LMS for example. Simulations are presented for a control system using a plant response measured from a loudspeaker to a microphone inside a car which support these observations.

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More information

Published date: 2000
Venue - Dates: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2000: ICASSP 2000, 2000-06-05 - 2000-06-09

Identifiers

Local EPrints ID: 10781
URI: https://eprints.soton.ac.uk/id/eprint/10781
PURE UUID: be0c1406-4dfc-44e3-8c75-5d6239dea7c6

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Date deposited: 22 Aug 2005
Last modified: 17 Jul 2017 17:05

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Contributors

Author: S.J. Elliott
Author: J.G. Cook

University divisions

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