NDLI: Grey-box modelling of a motorcycle shock absorber

Content Provider	IEEE Xplore Digital Library
Author	Liberati, M. Beghi, A. Mezzalira, S. Peron, S.
Copyright Year	2004
Description	Author affiliation: Aprilia Racing Dept., Italy (Liberati, M.)
Abstract	There is an increasing use of virtual prototyping tools in the motorcycle industry, aimed at reducing the development time of new models and speeding up performance optimization, by providing the designer with an in-laboratory virtual test track. Virtual prototyping software is essentially multi body simulation software that requires the availability of models of all the vehicle components. The choice of the model is then of paramount importance, since it heavily affects the accuracy and reliability of the simulation results. Conventional models (like linear models) are often inadequate to describe the behavior of complex nonlinear components, so that it is necessary to appeal to different modelling approaches. This is actually the case when dealing with motorcycle suspension systems, given that their most critical part, the shock absorber, exhibits nonlinear and time-variant behavior. In this paper, a grey-box model of a racing motorcycle mono tube shock absorber is proposed. It consists of a nonlinear parametric model and a black-box, neural network based model. The absorber model has been implemented in a numerical simulation environment, and it has been validated against experimental test data. The results of the validation show that the model is able to reproduce the real behavior of the shock absorber with an accuracy that matches or even beats that of other models previously presented in the literature. The interfacing of the proposed model to the ADAMS virtual prototyping environment is also discussed.
Starting Page	755
Ending Page	760
File Size	344222
Page Count	6
File Format	PDF
ISBN	0780386825
ISSN	01912216
DOI	10.1109/CDC.2004.1428748
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-12-14
Publisher Place	Bahamas
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motorcycles Shock absorbers Virtual prototyping Testing Optimization Availability Vehicles MONOS devices Parametric statistics Neural networks
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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