A comparison of two adaptive algorithms for the control of active engine mounts

Research output: Contribution to journalArticle (Academic Journal)peer-review

53 Citations (Scopus)

Abstract

This paper describes work conducted in order to control automotive active engine mounts, consisting of a conventional passive mount and an internal electromagnetic actuator. Active engine mounts seek to cancel the oscillatory forces generated by the rotation of out-of-balance masses within the engine. The actuator generates a force dependent on a control signal from an algorithm implemented with a real-time DSP. The filtered-x least-mean-square (FXLMS) adaptive filter is used as a benchmark for comparison with a new implementation of the error-driven minimal controller synthesis (Er-MCSI) adaptive controller. Both algorithms are applied to an active mount fitted to a saloon car equipped with a four-cylinder turbo-diesel engine, and have no a priori knowledge of the system dynamics. The steady-state and transient performance of the two algorithms are compared and the relative merits of the two approaches are discussed. The Er-MCSI strategy offers significant computational advantages as it requires no cancellation path modelling. The Er-MCSI controller is found to perform in a fashion similar to the FXLMS filter—typically reducing chassis vibration by 50–90% under normal driving conditions.
Translated title of the contributionA comparison of two adaptive algorithms for the control of active engine mounts
Original languageEnglish
Pages (from-to)37 - 54
Number of pages18
JournalJournal of Sound and Vibration
Volume286 (1-2)
DOIs
Publication statusPublished - 23 Aug 2005

Bibliographical note

Publisher: Elsevier

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