TY - GEN
T1 - Vehicle steering design using solution spaces for decoupled dynamical subsystems
AU - Münster, M.
AU - Lehner, M.
AU - Rixen, D.
AU - Zimmermann, M.
PY - 2014
Y1 - 2014
N2 - Vehicle design with respect to steering feel and steering vibration is challenging for many reasons. One of them is that several subsystems need to be considered simultaneously. These are the front axle, the power-assisted steering gear and the steering column. Typically, they are developed separately by different departments or external suppliers. Therefore, the requirements, which are usually imposed on the vehicle level, i.e. the coupled system, have to be reformulated on the level of subsystems. In order to enable robust concurrent design of subsystems from the beginning, a design method is proposed that relies on so-called solution spaces. Here, a solution space defines a permissible range of subsystem parameters that ensures that a specified set of requirements is satisfied on the superior system level. It is constructed to be as large as possible in order to provide maximum flexibility for subsystem design, parameter variance or uncertainty. As a main benefit, the permissible parameter ranges are independent of each other and the subsystems are decoupled. In this work, objective requirements on the steering subsystem are derived followed by the computation of solution spaces for important design parameters using meta models and stochastic sampling. Finally, the results are validated with a detailed simulation model.
AB - Vehicle design with respect to steering feel and steering vibration is challenging for many reasons. One of them is that several subsystems need to be considered simultaneously. These are the front axle, the power-assisted steering gear and the steering column. Typically, they are developed separately by different departments or external suppliers. Therefore, the requirements, which are usually imposed on the vehicle level, i.e. the coupled system, have to be reformulated on the level of subsystems. In order to enable robust concurrent design of subsystems from the beginning, a design method is proposed that relies on so-called solution spaces. Here, a solution space defines a permissible range of subsystem parameters that ensures that a specified set of requirements is satisfied on the superior system level. It is constructed to be as large as possible in order to provide maximum flexibility for subsystem design, parameter variance or uncertainty. As a main benefit, the permissible parameter ranges are independent of each other and the subsystems are decoupled. In this work, objective requirements on the steering subsystem are derived followed by the computation of solution spaces for important design parameters using meta models and stochastic sampling. Finally, the results are validated with a detailed simulation model.
UR - http://www.scopus.com/inward/record.url?scp=84913582415&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84913582415
T3 - Proceedings of ISMA 2014 - International Conference on Noise and Vibration Engineering and USD 2014 - International Conference on Uncertainty in Structural Dynamics
SP - 3891
EP - 3906
BT - Proceedings of ISMA 2014 - International Conference on Noise and Vibration Engineering and USD 2014 - International Conference on Uncertainty in Structural Dynamics
A2 - Sas, P.
A2 - Moens, D.
A2 - Denayer, H.
PB - KU Leuven
T2 - 26th International Conference on Noise and Vibration Engineering, ISMA 2014, Including the 5th International Conference on Uncertainty in Structural Dynamics, USD 2014
Y2 - 15 September 2014 through 17 September 2014
ER -