In this paper, a tool supporting racing car design and set-up is proposed. A neuro-fuzzy inference system is used to model performance using set-up parameters. This approach has been suggested by the need of adopting a linguistic description of the system itself. The network has been developed by performance simulations of a race car in known conditions. A variational analysis of the output surfaces can provide a simply way to achieve the desired car performances
Race car performance evaluation by a neuro-fuzzy inference system
CORRADINI, Maria Letizia;
2006-01-01
Abstract
In this paper, a tool supporting racing car design and set-up is proposed. A neuro-fuzzy inference system is used to model performance using set-up parameters. This approach has been suggested by the need of adopting a linguistic description of the system itself. The network has been developed by performance simulations of a race car in known conditions. A variational analysis of the output surfaces can provide a simply way to achieve the desired car performancesFile in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
