Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11889/4538
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Abdo, Ali | |
dc.contributor.author | Saijai, Jedsada | |
dc.contributor.author | Damlakhi, Waseem | |
dc.contributor.author | Ding, Steven | |
dc.date.accessioned | 2017-03-16T07:57:13Z | |
dc.date.available | 2017-03-16T07:57:13Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11889/4538 | |
dc.description.abstract | : In this paper, an FD scheme for detecting sensor faults in Lateral dynamics system is presented. The main contribution is to present an analytical solution to design residual generator using parity space approach in order to handle the time varying parameter in the system. The designed residual generator is realized in an observer structure which provides numerical stability by on-line realization. This proposed scheme can be applied for both continues and discrete systems. The results were implemented in Matlab/Simulink and tested with CarMaker software as realistic vehicle simulator | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Robots - Error detection and recovery | en_US |
dc.subject | Fault location (Engineering) | en_US |
dc.subject | Distributed parameter systems | en_US |
dc.subject | High performance computing | en_US |
dc.subject | Motion control devices | en_US |
dc.title | An observer-based fault detection approach for vehicle lateral dynamics control system | en_US |
dc.type | Article | en_US |
newfileds.department | Engineering and Technology | en_US |
newfileds.item-access-type | open_access | en_US |
newfileds.thesis-prog | none | en_US |
newfileds.general-subject | Computers and Information Technology | الحاسوب وتكنولوجيا المعلومات | en_US |
item.languageiso639-1 | other | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
Appears in Collections: | Fulltext Publications |
Files in This Item:
File | Description | Size | Format | |
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An_Observer-based_Fault_Detection_Approach_for_Veh.pdf | 323.74 kB | Adobe PDF | View/Open |
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