Analysis of Fault Detection and Identification for Heading Control of a four wheel vehicle
Küçük Resim Yok
Tarih
2010
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Intelligent Transport Systems (ITS)
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper deals with an analysis of Fault Detection and Identification (FDI) based on a Heading Control (HC System) for a four wheel vehicle. Such a HC System helps reducing the required torque from the driver to stay in the desired lane. The performance of FDI based HC System is examined using IPG-CarMaker with Matlab Simulink, while for the controller of the HC System the optimal control theory is applied. The vehicle used in IPG-CarMaker is a Mercedes E-Class model with this designed HC System integrated. Based on this system with its characteristics a fault detection and identification system is developed as a failure of this HC System can lead to an increasing workload of the driver or even an instable system. The Fault Detection and Identification module using Fourier transformation for signal processing and statistical analysis and neural networks for feature extraction and clustering of faults is integrated into the simulation model and its performance is analyzed.
Açıklama
Daebo Communication and Systems (DBCS);Ericsson;et al.;HiPlus;Hyundai;Kia Motors
17th World Congress on Intelligent Transport Systems, ITS 2010 -- 25 October 2010 through 29 October 2010 -- -- 116982
17th World Congress on Intelligent Transport Systems, ITS 2010 -- 25 October 2010 through 29 October 2010 -- -- 116982
Anahtar Kelimeler
Automobile Manufacture, Chemical Detection, Feature Extraction
Kaynak
17th ITS World Congress
WoS Q Değeri
Scopus Q Değeri
N/A
