An Unknown Input Observer for Fault Detection Based on Sliding Mode Observer in Electrical Steering Assist Systems | ||
| AUT Journal of Modeling and Simulation | ||
| مقاله 4، دوره 47، شماره 2، 2015، صفحه 31-43 اصل مقاله (592.88 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/miscj.2015.568 | ||
| نویسندگان | ||
| Mohammad Amin Tajeddini1؛ Behrouz Safarinejadian* 2؛ Mohsen Rakhshan3 | ||
| 1PHD student of school of Electrical and Computer Engineering, Tehran University, Tehran, Iran | ||
| 2Assistant Professor of School of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran. | ||
| 3MSc student of School of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran. | ||
| چکیده | ||
| Steering assist system controls the force transfer behavior of the steering system and improves the steering probability of the vehicle. Moreover, it is an interface between the diver and vehicle. Fault detection in electrical assisted steering systems is a challenging problem due to frequently use of these systems. This paper addresses the fault detection and reconstruction in automotive electrical steering assist systems. Two types of faults including sensor fault and actuator fault are investigated. In this paper, four different model-based fault detection methods including Luenberger observer method, Parity space method, decoupling filter of fault from disturbance method and the unknown input observer are studied. In each method, a sensor and actuator fault is investigated based on the model of the system. Moreover, we examine a method for the fault reconstruction based on the sliding mode observer. Finally, these methods are applied to an automotive electrical steering assist system. The results are presented and thoroughly discussed. | ||
| کلیدواژهها | ||
| Fault detection؛ Fault reconstruction؛ Parity space؛ Sliding mode؛ Unknown input observer | ||
| مراجع | ||
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