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Towards time-optimal race car driving using nonlinear MPC in real-time

Verschueren, Robin and De Bruyne, Stijn and Zanon, Mario and Frasch, Janick V. and Diehl, Moritz Towards time-optimal race car driving using nonlinear MPC in real-time. In: 53rd Conference on Decision and Control, December 15-17, 2014, Los Angeles, CA, USA pp. 2505-2510. ISSN 0191-2216. ISBN 978-1-4673-6090-6. (2014)

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This paper addresses the real-time control of autonomous vehicles under a minimum traveling time objective. Control inputs for the vehicle are computed from a nonlinear model predictive control (MPC) scheme. The time-optimal objective is reformulated such that it can be tackled by existing efficient algorithms for real-time nonlinear MPC that build on the generalized Gauss-Newton method. We numerically validate our approach in simulations and present a real-world hardware setup of miniature race cars that is used for an experimental comparison of different approaches.

Item Type: Conference or Workshop Item (Paper)
Identification Number: 10.1109/CDC.2014.7039771
Subjects: T Technology > T Technology (General)
Research Area: Computer Science and Applications
Depositing User: Mario Zanon
Date Deposited: 12 Mar 2018 10:28
Last Modified: 12 Mar 2018 10:28
URI: http://eprints.imtlucca.it/id/eprint/4022

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