STEERINGFEELSBW

DEVELOPMENT AND ENHANCEMENT OF A STEERING FEEL MODEL FOR SUPER LIGHTWEIGHT STEER-BY-WIRE VEHICLES

Coordinatore	YILDIZ TECHNICAL UNIVERSITY    more  Organization address address: BARBAROS BULVARI YILDIZ KAMPUS city: ISTANBUL postcode: 34349 contact info Titolo: Dr. Nome: Vasfi Emre Cognome: Omurlu Email: send email Telefono: 902124000000 Fax: 902124000000
Nazionalità Coordinatore	Turkey [TR]
Totale costo	87˙500 €
EC contributo	87˙500 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2011-CIG
Funding Scheme	MC-CIG
Anno di inizio	2011
Periodo (anno-mese-giorno)	2011-09-01   -   2016-01-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	YILDIZ TECHNICAL UNIVERSITY  Organization address address: BARBAROS BULVARI YILDIZ KAMPUS city: ISTANBUL postcode: 34349 contact info Titolo: Dr. Nome: Vasfi Emre Cognome: Omurlu Email: send email Telefono: 902124000000 Fax: 902124000000	TR (ISTANBUL)	coordinator	87˙500.00

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 Obiettivo del progetto (Objective)

'The overall aim of this research is the development of a force-feedback model for the steering system of super lightweight Steer-By-Wire (SBW) vehicles. The immediate goals are to explore the role of force-feedback (a.k.a., steering feel) transmitted from the front wheels to the handwheel in road vehicles and, connectedly, to emulate and enhance the steering feel in SBW systems. More specifically, the goals are to (a) perform various driving experiments in an SBW test rig to collect input/output data from/to steering system and vehicle dynamics, (b) investigate the role of force-feedback in super lightweight vehicles so that a mathematical model for generating a proper steering feel in an SBW system can be developed, (c) investigate the cooperation of other information, which is obtained from the vehicle dynamics, with the designed steering feel model with regard to driving performance and thus enhance the steering feel, and (d) develop a steering feel model specific to a driver, through a learning algorithm, for more comfortable steering.'