Automated control beyond the limits of friction

A nonlinear model predictive approach for with production vehicle experimental verification

Master Thesis (2023)
Author(s)

S. Meijer (TU Delft - Mechanical Engineering)

Contributor(s)

B. Shyrokau – Mentor (TU Delft - Intelligent Vehicles)

A. Bertipaglia – Coach (TU Delft - Intelligent Vehicles)

Faculty
Mechanical Engineering
Copyright
© 2023 Stan Meijer
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Stan Meijer
Graduation Date
11-07-2023
Awarding Institution
Delft University of Technology, BMW Group
Programme
Mechanical Engineering | Vehicle Engineering
Faculty
Mechanical Engineering
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Abstract

Abstract—This paper proposes a Nonlinear Model Predictive Control (NMPC) application for automated drifting, with exper- imental verification on a standard production vehicle, without hardware modifications. The controller stabilizes the vehicle on a high sideslip angle, which implies an equilibrium condition beyond tyre friction limits. The proposed control strategy shows feasible results that succesfully brings the vehicle towards a high sideslip state, for a variety of drifting scenarios. Simulations show that the control structure is able to sustain an automated drift along a desired path, with maximal lateral path deviation of 1 meter. An experimental implementation on a production vehicle testbench without hardware modifications has shown feasible control of bringing the vehicle into a high sideslip state, for both low- and high μ situations.

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File under embargo until 11-07-2025