Abstract
An identification method is presented for the parameters of a quasi linear parameter varying model (qLPV) of a quarter car suspension system. In this model nonlinear components of the suspension system are taken into consideration. Since not all the variables necessary for the identification are available, some numerical techniques need to be applied, e.g. the numerical integration of measured signals. It is also shown that the selection of the sampling time might be critical in this type of application. By using the result of this identification an algorithm is given for the road signal reconstruction. The road roughness estimation is based on this reconstructed signal for classification purposes by and an autoregressive-moving average model structure is used. Finally, demonstration examples show the results of the proposed approach.
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