| KEYWORD |
Racing line optimization algorithms for high performance and/or automated vehicles
Thesis abroad
keywords SIMULATION, VEHICLE DYNAMICS
Reference persons ALESSANDRO VIGLIANI
External reference persons Prof Aldo Sorniotti (university of Surrey, UK)
Ing Pietro Stano (university of Surrey, UK)
Research Groups Meccanica del Veicolo
Thesis type MODELING AND SIMULATION
Description The basic goal of any racing sport is to complete a certain number of laps in the minimum possible time. In order to achieve this goal, it is useful to determine the optimal trajectory for a given racetrack, taking into account the physical properties of the racing vehicle. This problem is mostly called the minimum lap time problem (MLTP). The planning of time-optimal trajectories at the limits of handling is of great practical interest. In racing, it is common to use numerical optimization methods to determine the lap time for specific race cars. The aim of this project is to develop of a toolbox for racing line optimization for high performance and/or automated vehicles through advanced control strategies, e.g., machine learning algorithms.
See also call_for_thesis_usurrey_raceline.pdf
Required skills -MATLAB & Simulink programming
- Python
- Knowledge of control engineering (e.g., gained from university courses)
- AI (highly desirable but not essential as it will be learnt during the project)
- Proactivity
Deadline 17/02/2023
PROPONI LA TUA CANDIDATURA