Paper i proceeding, 2009

In this paper, we investigate predictive control approaches to the problem of roadway departure prevention via steering and braking. We assume a sensing infrastructure detecting road geometry and consider a two layers architecture consisting of a threat assessment and an intervention layer. In particular, the upper threat assessment layer detects the risk of roadway departure or vehi- cle instability within a future time horizon. If a risk of roadway departure or vehicle instability is detected, the lower intervention layer is enabled. The lat- ter is designed based on Model Predictive Control (MPC) approaches, where steering and braking interventions are the result of an optimization problem. This is formulated on the basis of vehicle state measurements and coming road information (e.g., road geometry, surface adhesion) and repeatedly solved over a moving future time horizon. Simulation and experimental results are presented, showing that the proposed approach effectively exploits road preview capabilities in order to issue earlier and less intrusive interventions, compared to standard Electronic Stability Con- trol (ESC) systems.

Global Chassis Control

Vehicle Stability

Threat Assessment

Model Predictive Control

Autonomous Vehicles

Active Safety


Mohammad Ali

Signaler och system, System- och reglerteknik, Mekatronik

Paolo Falcone

Signaler och system, System- och reglerteknik, Mekatronik

Jonas Sjöberg

Signaler och system, System- och reglerteknik, Mekatronik

21st IAVSD Symposium on Dynamics of Vehicles on Roads and Tracks, Stockholm, 17-21 August 2009