Identification of System Physical Parameters for Vehicle Systems with Nonlinear Components

Abstract

In this paper a time-domain direct identification method is presented for the identification of vehicle system mass, damping and stiffness matrices, as well as for parameters of nonlinear componentswhich are "linear-in-the-parameters". The method is based on least-square type of error costs which are constructed from system dynamic equation. The estimated system parameters are then tuned to minimize each of these cost functions. The parameters are directly identified from the deduced algorithm without iteration. To demonstrate the proposed identification procedure, the method is applied to a four degree-of-freedom vehicle; different nonlinear suspension components, such as cubic springs, nonlinear hydraulic and frictional dampers and their combinations are considered. It can be seen that by using the proposed method, all the unknown system parameters are identified with sufficient accuracy, low memory and computation time.