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GAMM Sections
Covariance analysis for active vehicle suspensions
Article first published online: 10 JUL 2008
DOI: 10.1002/pamm.200700260
Copyright © 2007 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Issue
1617-7061/asset/cover.gif?v=1&s=79b6ccfe3470758033c99b476335ce58b5a38819 "PAMM")
PAMM
Special Issue: Sixth International Congress on Industrial Applied Mathematics (ICIAM07) and GAMM Annual Meeting, Zürich 2007
Volume 7, Issue 1, pages 4120001–4120002, December 2007
Additional Information
How to Cite
Schiehlen, W., Fehr, J. and Jung, K. Y. (2007), Covariance analysis for active vehicle suspensions. PAMM, 7: 4120001–4120002. doi: 10.1002/pamm.200700260
Publication History
- Issue published online: 10 JUL 2008
- Article first published online: 10 JUL 2008
- Abstract
- References
- Cited By
Abstract
In this paper the covariance analysis will be extended to active suspension systems with skyhook dampers. The covariance matrix of the entire vehicle system follows from an algebraic equation, the so-called Ljapunov matrix equation, and no integrations are required. An essential prerequisite of the covariance analysis is a white noise input process. This can always be provided by modelling the random vehicle excitation by means of a shape filter. Performance criteria are presented and appropriate design parameters are found by optimization. (© 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)