The sensitivity of a dynamic system to variations of its design and control parameters plays an important role in understanding system performance, examining the uncertainty of model parameters and defining the most effective parameters in the design process. Moreover, the sensitivity information can be used to quantitatively predict a change in specific system characteristics to control the system by actually modifying its control parameter to changes in design parameters values (Yedavalli, 1982). This is carried out by delineating the relative ciriticality of the system parameters to a required performance objective. In this paper, a modal analysis approach based on normalized eigenvalue sensitivities and mode-state association is presented. The approach is used to delineate the relative criticality of system parameters to a required performance objective. The normalized eigenvalue sensitivities relate system parameters to its modes while the mode-state association relates these modes to system performance. The approach is illustrated by an application to a half-car model incorporating active dampings and fast load levelers.
Eigenvalue sensitivies as an effective tool for active automotive suspension design
Eigenwert-Feineinstellung als ein wirksames Mittel zur Auslegung aktiver Radaufhängungen
1989
7 Seiten, 5 Tabellen, 9 Quellen
Aufsatz (Konferenz)
Englisch
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