A Fast Convergence FxLMS Algorithm for Vibration Damping of a Quarter Car

Johannes N. Strohm, Boris Lohmann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

We present a new adaption rule for the filtered x least mean squares (FxLMS) algorithm and its application as a disturbance compensator for the quarter car. Therefore we combine an adaption rule, which is based on the normalized, leaky-nu FxLMS algorithm, with a novel method for the initialization of the filter coefficients. This leads to fast convergence, which is important in the case of sudden changes in the primary path's delay time. Thereafter, the new algorithm is applied as a disturbance compensator for road irregularities. The goal is to improve driving comfort and safety by exploiting the knowledge of the road surface (i.e. disturbance). Assuming that it is known a certain time in advance, we show the improved performance of the developed algorithm and compare it to the standard FxLMS algorithm and to a static disturbance compensator.

Original languageEnglish
Title of host publication2018 IEEE Conference on Decision and Control, CDC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6094-6100
Number of pages7
ISBN (Electronic)9781538613955
DOIs
StatePublished - 2 Jul 2018
Event57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States
Duration: 17 Dec 201819 Dec 2018

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2018-December
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference57th IEEE Conference on Decision and Control, CDC 2018
Country/TerritoryUnited States
CityMiami
Period17/12/1819/12/18

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