MODEL-BASED FAULT DETECTION AND ISOLATION IN AUTOMOTIVE YAW MOMENT CONTROL SYSTEM
This paper presents a model-based fault detection and isolation technique for automotive yaw moment control system. For this purpose, a novel fault detection and isolation algorithm for a class of actuator-plant systems is proposed. Compared with the existing fault detection and isolation techniques...
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| Published in | International journal of automotive technology pp. 405 - 416 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
한국자동차공학회
01.06.2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1229-9138 1976-3832 |
| DOI | 10.1007/s12239−017−0041−5 |
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| Summary: | This paper presents a model-based fault detection and isolation technique for automotive yaw moment control system. For this purpose, a novel fault detection and isolation algorithm for a class of actuator-plant systems is proposed.
Compared with the existing fault detection and isolation techniques that can only isolate a target fault or require multiple observers to isolate multiple faults, a unique strength of the proposed algorithm is its ability to isolate faults at the component level solely based on the residuals generated by a single observer. The validity of the proposed algorithm, applied to automotive yaw moment control system, is investigated via a simulation study based on a realistic vehicle dynamics model.
The results suggest that the proposed algorithm can isolate the component subject to fault while effectively handling two perennial nuisances: sensitivity to disturbances and false alarms due to uncertainties. KCI Citation Count: 8 |
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| ISSN: | 1229-9138 1976-3832 |
| DOI: | 10.1007/s12239−017−0041−5 |