The developed Active Front Steering (AFS) Linear Time Variant (LTV)Model Predictive Control (MPC) is a linear model predictive control based on linearization of the nonlinear vehicle model. A sensitivity analysis of the parameters of the controller is carried out on a simple path following test. Once the optimal parameters are found, both in terms of trajectory following and real-time performances, the LTV-MPC is used for determining the requirements for the necessary sensors (in terms of minimum obstacle distance detection) as a function of the vehicle speed. Then, the same analysis is carried out considering wet road conditions (i.e. the tyreroad friction coefficient is different from that accounted forby the controller).
ACTIVE FRONT STEERING LTV MPC FOR VARYING FRICTION CONDITIONS
BRAGHIN, FRANCESCO;SABBIONI, EDOARDO
2014-01-01
Abstract
The developed Active Front Steering (AFS) Linear Time Variant (LTV)Model Predictive Control (MPC) is a linear model predictive control based on linearization of the nonlinear vehicle model. A sensitivity analysis of the parameters of the controller is carried out on a simple path following test. Once the optimal parameters are found, both in terms of trajectory following and real-time performances, the LTV-MPC is used for determining the requirements for the necessary sensors (in terms of minimum obstacle distance detection) as a function of the vehicle speed. Then, the same analysis is carried out considering wet road conditions (i.e. the tyreroad friction coefficient is different from that accounted forby the controller).File | Dimensione | Formato | |
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