6533b85bfe1ef96bd12bb381
RESEARCH PRODUCT
A state-space approach to mathematical modeling and parameters identification of vehicle frontal crash
Hamid Reza KarimiBernard B. MunyazikwiyeKjell G. Robbersmyrsubject
EngineeringControl and OptimizationChassisState-space representationbusiness.industryStiffnessCrashIdentification (information)Nonlinear Sciences::Adaptation and Self-Organizing SystemsArtificial IntelligenceControl and Systems EngineeringControl theoryFull state feedbackmedicineState spacemedicine.symptombusinessComputer Science::Distributed Parallel and Cluster ComputingSimulationdescription
In this paper a state-space estimation procedure that relies on the time-domain analysis of input and output signals is used for mathematical modeling of vehicle frontal crash. The model is a double-spring–mass–damper system, whereby the front mass and real mass represent the chassis and the passenger compartment, respectively. It is observed that the dynamic crash of the model is closer to the dynamic crash from experimental when the mass of the chassis is greater than the mass of the passenger compartment. The dynamic crash depends on pole placement and the estimated parameters. It is noted that when the poles of the model are closer to zero, the dynamic crash of the model is far from the dynamic crash from the experimental data. The stiffness and damping coefficients play an important role in the dynamic crash.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2014-04-30 | Systems Science & Control Engineering |