Identification of Driver Model Parameters

摘要

In order to analyze vehicle performance via simulation under some cases where driver model is necessary,the closed loop including both vehicle and driver should be precisely modeling.Both vehicle and driver modeling has been developed perfectly in last several decades.However,it is difficult to measure the driver's parameters for modeling directly via measurement instrument.Driver model parameters should be identified,and this paper is mainly focused on identification of Position and Orientation Preview Acceleration Driver Model(POPADM).Principal of POPADM was described.ARMA model of POPADM was identified under double lane change test firstly,and frequency response data derived from ARMA model was used as sample data to fit the driver model parameter by Levenberg-Marquardt algorithm finally.