Minimum-lap-time problems are commonly solved employing quasi-steady-state models on a predetermined trajectory or dynamic models on a free (non-predetermined) trajectory. The current work deals with a third approach, that combines a free-trajectory minimum-lap-time method, together with a quasi-steady-state description of the vehicle. The method is based on the computation of the well known g-g diagrams, which summarise the quasi-steady-state performance of the vehicle. This information is employed for the solution of an optimal-control problem, that allows to determine the optimal trajectory. Numerical models of high complexity can be employed, since all their features (e.g. tyre limits, power limits, aerodynamic drag and downforce, suspensions, etc.) are included in the related g-g diagrams, and do not affect the complexity of the optimal control problem that need be solved. The method allows to employ even experimental g-g diagrams in place of numerical ones, and is suitable for application to both cars and motorcycles.
A Free-Trajectory Quasi-steady-state Optimal-Control Method for Minimum-Time Problems of Cars and Motorcycles
Lect.Notes Mechanical Engineering
The IAVSD International Symposium on Dynamics of Vehicles on Roads and Tracks ; 2019 ; Gothenburg, Sweden August 12, 2019 - August 16, 2019
13.02.2020
7 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
A free-trajectory quasi-steady-state optimal-control method for minimum lap-time of race vehicles
Taylor & Francis Verlag | 2020
|A quasi-steady-state minimum lap time simulation of race motorcycles using experimental data
Taylor & Francis Verlag | 2024
|Taylor & Francis Verlag | 2022
|Minimum-Time Trajectories of Motorcycles
British Library Online Contents | 2011
|