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dc.contributor.authorRen, Yaxing
dc.date.issued2020
dc.date.submitted2021-06-02T10:13:19Z
dc.identifierONIX_20210602_10.5772/intechopen.90145_479
dc.identifierhttps://library.oapen.org/handle/20.500.12657/49365
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/70665
dc.description.abstractThe increasing number of cars leads traffic congestion and parking problems in urban area. Small electric four-wheeled narrow tilting vehicles (NTV) have the potential to become the next generation of city cars. However, due to its narrow width, the NTV has to lean into corners like two-wheeled vehicles during a turn. It is a challenge to maintain its roll stability to protect it from falling down. This chapter aims to describe the development of NTV and drive assistance technologies in helping to improve the stability of an NTV in turning. The modelling of an NTV considers the dynamics of the tyres and power train of the vehicle. A nonlinear tilting controller for the direct tilting control mechanism is designed to reduce the nonlinear behaviour of an NTV operating at different vehicle velocities. In addition, two torque vectoring based torque controllers are designed to reduce the counter-steering process and improve the stability of the NTV when it turns into a corner. The results indicate that the designed controllers have the ability to reduce the yaw rate tracking error and maximum roll rate. Then riders can drive an NTV easily with the drive assistance system.
dc.languageEnglish
dc.rightsopen access
dc.subject.othermodelling, stability control, nonlinear control, torque vectoring, drive assistance system, narrow tilting vehicle
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general
dc.titleChapter Modelling and Control of Narrow Tilting Vehicle for Future Transportation System
dc.typechapter
oapen.identifier.doi10.5772/intechopen.90145
oapen.relation.isPublishedBy035ecc65-6737-43cf-a13a-6bdf67ce01f4
dc.relationisFundedByH2020-GV-2014


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