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).
2014
Proc. of ASME 2014 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference IDETC/CIE 2014
9780791846346
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/843945
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