© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works ; In this work, a model-based fault detection layoutfor vehicle lateral dynamics system is presented. The majorfocus in this study is on the handling of model uncertainties andunknown inputs. In fact, the vehicle lateral model is affectedby several parameter variations such as longitudinal velocity,cornering stiffnesses coefficients and unknown inputs like windgust disturbances. Cornering stiffness parameters variation isconsidered to be unknown but bounded with known compactset. Their effect is addressed by generating intervals for theresiduals based on the zonotope representation of all possiblevalues. The developed fault detection procedure has been testedusing real driving data acquired from a prototype vehicle.Index Terms— Robust fault detection, interval models,zonotopes, set-membership, switched uncertain systems, LMIs,input-to-state stability, arbitrary switching. ; Peer Reviewed ; Postprint (author's final draft)
Robust fault detection for vehicle lateral dynamics: Azonotope-based set-membership approach
2018-01-01
Conference paper
Electronic Resource
English
DDC: | 629 |
Robust observer-based fault-tolerant control for vehicle lateral dynamics
Online Contents | 2008
|Robust observer-based fault-tolerant control for vehicle lateral dynamics
Tema Archive | 2008
|Fault detection for lateral and vertical vehicle dynamics
Tema Archive | 2005
|Set membership identification approach for fault detection
British Library Online Contents | 1998
|