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Covariance analyis for active vehicle suspensions
Author(s) -
Schiehlen Werner,
Fehr Jörg,
Jung Kim Yun
Publication year - 2007
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.200700769
Subject(s) - skyhook , covariance , covariance matrix , white noise , control theory (sociology) , suspension (topology) , damper , matrix (chemical analysis) , computer science , law of total covariance , cma es , mathematics , covariance intersection , estimation of covariance matrices , algorithm , engineering , control engineering , artificial intelligence , materials science , statistics , sprung mass , control (management) , homotopy , pure mathematics , composite material
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)