In this paper we address the minimum lap-time problem for a single-track rigid car which includes tire models and load transfer. Given a planar track including lane boundaries, our goal is to find a trajectory of the car minimizing the lap time subject to tire and steering limits. By using a new set of coordinates, the time-dependent system is transformed into a \squotespace-dependent (and space-variant) system. The choice of a suitable set of coordinates and the partition of the dynamics into a ``longitudinal'' one and a ``transverse'' one, allows us to convert the minimum time problem into a fixed horizon constrained optimal control problem. Based on a projection operator nonlinear optimal control technique, we propose a minimum lap-time strategy to push the rigid car to the limit of its handling capabilities. Finally, we provide numerical computations that: (i) show the effectiveness of the proposed strategy, and (ii) allow us to highlight important features of minimum lap-time trajectories.

Computing minimum lap-time trajectories for a single-track car with load transfer

Giuseppe Notarstefano;
2012

Abstract

In this paper we address the minimum lap-time problem for a single-track rigid car which includes tire models and load transfer. Given a planar track including lane boundaries, our goal is to find a trajectory of the car minimizing the lap time subject to tire and steering limits. By using a new set of coordinates, the time-dependent system is transformed into a \squotespace-dependent (and space-variant) system. The choice of a suitable set of coordinates and the partition of the dynamics into a ``longitudinal'' one and a ``transverse'' one, allows us to convert the minimum time problem into a fixed horizon constrained optimal control problem. Based on a projection operator nonlinear optimal control technique, we propose a minimum lap-time strategy to push the rigid car to the limit of its handling capabilities. Finally, we provide numerical computations that: (i) show the effectiveness of the proposed strategy, and (ii) allow us to highlight important features of minimum lap-time trajectories.
2012
IEEE Conference on Decision and Control
6321
6326
Alessandro Rucco; Giuseppe Notarstefano; John Hauser
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/672015
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