Structure Selection and LPV Model Identification of a Car Steering Dynamics

https://doi.org/10.1016/j.ifacol.2018.09.049Get rights and content

Abstract

A Linear Parameter-Varying (LPV), discrete-time black box model of an electric power assisted steering system of a passenger car is identified from open-loop step response measurement data. The goal is to provide a nominal model for control design and analysis that is able to describe the principal characteristics of the system in the whole region of steering angle and speed range of 3 to 30 km/h. Examining a set of experimental data by using classical linear time-invariant black box modeling and validation techniques, the structure of the LPV model is determined. The parameters of the model are identified based on minimizing a quadratic error criterion by nonlinear optimization algorithms.

Keywords

System identification
black box modeling
linear parameter varying models
steering system dynamics
electric power steering
automotive control

Cited by (0)

This work was supported by the Excellent Center for Vehicle Technology (J3K) No: MTA KEP-4/2017.

View Abstract