6533b85afe1ef96bd12b9526

RESEARCH PRODUCT

Data-based modeling of vehicle collision by LPV-ARMAX model approach

Hamid Reza KarimiKjell G. RobbersmyrQiugang LuWitold Pawlus

subject

Set (abstract data type)Vehicle dynamicsCollision avoidance (spacecraft)Identification (information)EngineeringHigh fidelitybusiness.industryControl engineeringbusinessCollisionData modelingTest data

description

Vehicle crash are considered to be events with high complexity from the mathematical points of view. The high experiment cost and huge time-consumption make the establishment of a mathematical model of vehicle crash which can simplify the analysis process in great demand. In this work, we present the application of LPV-ARMAX model to simulate the car-to-pole collision with different initial impact velocities. The parameters of the LPV-ARMAX are assumed to be functions of the initial impact velocities. Instead of establishing a set of LTI models for vehicle crashes with various impact velocities, the LPV-ARMAX model is comparatively simple and applicable to predict the responses of new collision situations different from those used for identification. The comparison between the predicted response and the real test data is conducted, which shows the high fidelity of the LPV-ARMAX model.

yearjournalcountryeditionlanguage
2013-06-012013 9th Asian Control Conference (ASCC)
https://doi.org/10.1109/ascc.2013.6606138