Improved driver model for testing in HIL environment
Ladda ner
Typ
Examensarbete för masterexamen
Master Thesis
Master Thesis
Program
Complex adaptive systems (MPCAS), MSc
Publicerad
2013
Författare
Freij, Harald
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
This master's thesis concerns driver models, with focus on non perfect driving. On the base of a black box driver behaviour model, perturbations are added for modelling lane drifting, non-alert driving (for example caused by sleepiness) and collision from behind. The driver models are developed and implemented for usage in an HIL environment. This means that both high and low level behaviour is considered. The running off road is modelled as a small steering wheel angle offset introduced with a smooth ramp. This has support in data from extensive field operation tests. The non alert driving is modelled both as driving with random input update frequency, and a sinusoidal steering wheel angle offset. These models are qualitatively compared to data corresponding to sleepy driving, recognised by a Driver Alert Control safety function. The behaviour connected to collisions from behind is modelled using Gipps' longitudinal model, with small presumed decelerations. The thesis also presents different low level model approaches, that is how a target vehicle motion is realised, in terms of pedal positions and steering wheel angle. Both PID and open loop methods are discussed. It is shown that PID controlling can give a very good resemblance between target and obtained motion, but also that a high correlation can be acquired without a good resemblance on the low level input.
Beskrivning
Ämne/nyckelord
Farkostteknik , Hållbar utveckling , Innovation och entreprenörskap (nyttiggörande) , Transport , Vehicle Engineering , Sustainable Development , Innovation & Entrepreneurship , Transport