| MODEL-BASED FAULT DETECTION AND ISOLATION IN AUTOMOTIVE YAW MOMENT CONTROL SYSTEM |
| Seung-Han You1, Young Man Cho2, Jin-Oh Hahn3 |
1Korea University of Technology and Education
2SOLiD
3Inc.
4University of Maryland |
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| ABSTRACT |
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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. |
| Key Words:
Fault detection and isolation, Actuator-plant system, Automotive yaw moment control, Robust observer, Adaptive observer |
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