Predictive Active Steering Control for Autonomous Vehicle Systems
Artikel i vetenskaplig tidskrift, 2007

In this paper a Model Predictive Control (MPC) approach for controlling an Active Front Steering system in an autonomous vehicle is presented. At each time step a trajectory in assumed to be known over a finite horizon, and an MPC controller computes the front steering angle in order to follow the trajectory on slippery roads at the highest possible entry speed. We present two approaches with different computational complexities. In the first approach we formulate the MPC problem by using a non-linear vehicle model. The second approach is based on successive on-line linearization of the vehicle model. Discussions on computational complexity and performance of the two schemes are presented. The effectiveness of the proposed MPC formulation is demonstrated by simulation and experimental tests up to 21 m/s on icy roads.


Paolo Falcone

Chalmers, Signaler och system, System- och reglerteknik

Francesco Borrelli

Jahan Asgari

H. Eric Tseng

Davor Hrovat

IEEE Transactions on Control Systems Technology

Vol. 15 3 566-580





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