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Identification of System Parameters of Simulation Models for Driving Control Systems
Published October 17, 1994 by Society of Automotive Engineers of China in China
Actively controlled suspension components very often employ real time simulation models in order to compare the actual driving state to the state of the model. Some authors suggest to indicate a critical driving situation in case the state variables of a linear single track reference model differ significantly from the state variables of the real vehicle.
In this study methods are presented which make it possible to identify linear and non-linear characteristics of a reference model. The real car will be described by a complex non-linear two track model. The non-linear tire characteristics of a single track model, which have a determining influence on the dynamic behavior in critical driving situations, will be identified by an optimization algorithm based on evolution strategy. another technique will be employed to identify the linear tire characteristics. This method is based on MOD-Functions and allows On-Line-Identification of parameters even from heavily disturbed signals.
On the basis of these identification methods non-linear driving situations can be described with simple models, which are adapted to the real vehicle.